MLSP-Lab

• Books
• Journal Articles
• Book Chapters
• Editorials
• Invention Disclosures and Patents
• Publications in Conference Proceedings (Refereed)
• Short Conference Publications (Refereed)
• Edited Proceedings/Special Issues

Books

Tulay Adali and Simon Haykin, Adaptive Signal Processing: Next Generation Solutions, 424 pages, Wiley-IEEE Press, Hoboken, NJ, 2010.

Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain (by T. Adali and H. Li), fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension.

Eric Moreau and Tulay Adali, Blind Identification and Separation of Complex Signals, 112 pages, ISTE and Wiley, London, UK and Hoboken, NJ, 2013.

Journal Articles

1. B. Gabrielson, M. A. B. S. Akhonda, I. Lehmann, and T. Adali, "An efficient analytic solution for joint blind source separation", IEEE Trans. Signal Processing, May 2024. PDF
2. V. Kautský, Z. Koldovský, and T. Adali, “A Double nonstationarity: Blind extraction of independent nonstationary vector/component from nonstationary mixtures - Performance analysis,� IEEE Trans. Signal Processing, to appear.
3. I. Belyaeva, B. Gabrielson, Y. P. Wang, T. W. Wilson, V. D. Calhoun, J. M. Stephen, and T. Adali, "Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition", IEEE Trans. Biomed. Eng., to appear.
4. A. Faghiri, K. Yang, K. Ishizuka, A. Sawa, T. Adali, and V.D. Calhoun, "Frequency modulation increases the specificity of time-resolved connectivity: A resting-state fMRI study", Network Neuroscience, to appear.
5. M. Sun, B. Gabrielson, M.A.B.S. Akhonda, F. Laport, V. D. Calhoun, and T. Adali, "A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis", Sensors, 23 (11), 5333, March 2023, open access. PDF
6. H. Yang , T. Vu, Q. Long, V.D. Calhoun, and T. Adali, "Identification of Homogeneous Subgroups from Resting-State fMRI Data", Sensors, 23 (6), 3264, March 2023, open access. PDF
7. K. M. I. Khalilullah, O. Agcaoglu, J. Sui, T. Adali, M. Duda, and V. D. Calhoun, "Multimodal fusion of multiple rest fMRI networks and MRI gray matter via parallel multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease", Human Brain Mapping, August 2023, open access. PDF
8. A. Iraji, et al., T. Adali, and V. D. Calhoun, "Identifying canonical and replicable multi-scale intrinsicconnectivity networks in 100k+ resting-state fMRI datasets", Human Brain Mapping, pp. 5729-5748, Dec. 2023, open access. PDF
9. A. Iraji, et al., T. Adali, and V. D. Calhoun, "Spatial dynamic subspaces encode sex-specific schizophrenia disruptions in transient network overlap and its links to genetic risk", Biological Psychiatry, December 2023, open access.
10. P. Olikkal, D. Pei, T. Adali, N. Banerjee, and R. Vinjamuri, "Data fusion-based musculoskeletal synergies in the grasping hand", Sensors, October 2022, open access. PDF
11. C. Jia, Q. Fang, T. Ernst, Y. Shang, L. Chang, and T. Adalı, "Independent component and graph theory analyses reveal normalized brain networks on resting-sate functional MRI after working memory training in people with HIV", J. Magnetic Resonance Imaging, 13 pages, Sep. 2022. PDF
12. I. Belyaeva, B. Gabrielson, Y. P. Wang, T. W. Wilson, V. D. Calhoun, J. M. Stephen, and T. Adalı, "Multi-subject analysis for brain developmental patterns discovery via tensor decomposition of MEG data", Neuroinformatics, 27 pages, Aug. 2022. PDF
13. M. Roald, C. Schenker, J. Cohen, R. Bro, V. Calhoun, T. Adalı, and E. Acar, "An AO-ADMM approach to constraining PARAFAC2 on all modes", SIAM Journal on Mathematics of Data Science (SIMODS), vol. 4, no. 3, pp. 1191-1222, 2022.
14. T. Adalı, and V. D. Calhoun, "Reproducibility and replicability in neuroimaging data analysis", Current Opinion in Neurology, vol. 35, no. 4, pp. 475-485, Aug. 2022. PDF
15. D. Pei, P. Olikkal, T. Adali, and R. Vinjamuri, "Reconstructing synergy-based hand grasp kinematics from electroencephalographic signals", Sensors, 15 pages, August 2022, open access. PDF
16. T. Adalı, F. Kantar, M. A. B. S. Akhonda, S. Strother, V. D. Calhoun, and E. Acar, "Reproducibility in matrix and tensor decompositions: Focus on model match, interpretability, and uniqueness", IEEE Signal Processing Magazine, vol. 39, no. 4, pp. 8-24, July 2022. PDF
17. D.Pei, P. Olikkal, T. Adali, and R. Vinjamuri, "Dynamical synergies of multi digit hand prehension", Sensors, 12 pages, June 2022, open access. PDF
18. H. Dashtestani H. O. Miguel, E. E. Condy, S. Zeytinoglu, J. Millerhagen, R. Debnath, E. Smith, T. Adali, N. A. Fox, and A. H. Gandjbakhche, "Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human action-observation network", Scientific Reports, vol 12, no. 6878, pp. 1-13, Apr 2022, open access. PDF
19. E. Acar, M. Roald, K. M Hossain, V. D. Calhoun, and T. Adali,"Tracing Evolving Networks using Tensor Factorizations vs. ICA-based Approaches," Frontiers Neuroscience, April 2022, vol. 16, Article 861402, 18 pages, open access.
20. M.A.B.S. Akhonda, Y. Levin-Schwartz, V. Calhoun, and T. Adali,"Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data,"Sensors, vol. 22(3), 1224, Feb 2022, open access. PDF
21. I. Belyaeva, S. Bhinge, Q. Long, and T. Adalı, "Taking the 4D nature into account promises significant gains in fMRI data completion," IEEE Access, Nov. 2021, open access.
22. C.Jia, M.A.B.S.Akhonda, Y.Levin-Schwartz, Q.Long, V.D.Calhoun, and T.Adali, "Consecutive independence and correlation transform for multimodal data fusion: Discovery of one-to-many associations in structural and functional imaging data," Applied Sciences, vol. 11, no. 8382, pp. 1?~@~S20, 2021, open access.
23. Q. Long, S. Bhinge, V. D. Calhoun, and T. Adalı, "Relationship between dynamic BOLD activity and functional network connectivity: Characterization of schizophrenia subgroups", Brain Connectivity, vol. 11, no. 6, pp. 430-446., Aug. 2021.
24. M.A.B.S. Akhonda, B. Gabrielson, S. Bhinge, V. Calhoun, and T. Adali, "Disjoint Sub-spaces for Common and Distinct Component Analysis: Application to the Fusion of Multi-task fMRI Data", Journal of Neuroscience Methods, vol. 358, pages 109214, July 2021.
25. Q. Long, S. Bhinge, V. D. Calhoun, and T. Adalı, "Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia", J. Neuroscience Methods, vol. 350, Feb. 2021, 109039. PDF
26. R. F. Silva, S. M. Plis, T. Adalı, M. S. Pattichis, and V. D. Calhoun, "Multidataset independent subspace analysis with application to multimodal fusion", IEEE Trans. Image Processing, vol. 30, pp. 588-602, Oct. 2020. PDF
27. V. Kautský, P. Tichavský, Z. Koldovský, and T. Adalı, "Performance bounds for complex-valued independent vector analysis" IEEE Trans. Signal Processing, vol. 68, pp. 4258-4267, 2020.
28. Q. Long, S. Bhinge, V. D. Calhoun, and T. Adalı, "Independent vector analysis for common sub-space analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia", NeuroImage, vol. 216, 116872, pp.1-9, 2020. PDF
29. S. Bhinge, Q. Long, V. D. Calhoun, and T. Adalı, "Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data", IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 6, pp. 1255-1264, Oct. 2020.
30. R. Jin, K. Dontaraju., S.-J. Kim, M.A.B.S. Akhonda, and T. Adalı "Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps", IEEE Journal of Selected Topics in Signal Processing. PDF
31. B. Gabrielson, M. A. B. S. Akhonda, S. Bhinge, J. Brooks, Q. Long, and T. Adalı, "Joint-IVA for identification of discriminating features in EEG: Application to a driving study", Biomedical Signal Processing and Control, vol. 61, Article no: 101948, Aug. 2020. PDF
32. A. Iraji, R. Miller, T. Adalı, V. D. Calhoun, "Space: A Missing Piece of the Dynamic Puzzle", Trends in Cognitive Sciences, Jan. 23, 2020.
33. X. Song, S. Bhinge, R. Quiton, and T. Adalı, "An ICA-based approach for steady-state and transient analysis of task fMRI data: Application to study of thermal pain response", J. Neuroscience Methods, vol. 326, 13 pages, Article no: 108356, Oct. 2019.
34. A. Von Luhmann, Z. Boukouvalas, K. Müller, and T. Adalı, "A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy", NeuroImage, vol. 200, pp. 72-88, Oct. 2019.
35. R. Mowakeaa, Z. Boukouvalas, Q. Long, and T. Adalı,"IVA using complex multivariate GGD: Application to fMRI analysis", Multidimensional Systems and Signal Processing, pp. 1-20. Oct. 9, 2019. PDF
36. S. Bhinge, Q. Long, V.D. Calhoun, and T. Adalı,"Spatial dynamic functional connectivity analysis identifies distinctive biomarkers in schizophrenia", Frontiers in Neuroscience, Sep. 2019, vol. 13, Article 1006, 13 pages. PDF
37. S. Bhinge, R. Mowakeaa, V.D. Calhoun, and T. Adali,"Extraction of time-varying spatio-temporal networks using parameter-tuned constrained IVA", IEEE Trans. Medical Imaging, vol. 38, no. 7, pp. 1715-1725, July 2019, open access. PDF
    Correction of typos in Eqn. (6) and detailed derivation.
38. E. Acar, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun, and T. Adalı, "Unraveling Diagnostic Biomarkers of Schizophrenia through Structure-Revealing Fusion of Multi- Modal Neuroimaging Data", Frontiers Neuroscience, vol. 13, article: 416, 16 pages, May 2019, open access.
39. S. Qi, J. Sui, J. Chen, J. Liu, R. Silva, A. Araji, E. Damaraju, M. Salman, D. Lin, Z. Fu, T. Adalı, and V. D. Calhoun, "Parallel Group ICA + ICA: Joint Estimation of Linked Functional Network Variability and Structural Covariation with Application to Schizophrenia", Human Brain Mapping, pp. 1-15, 2019.
40. Q. Long, S. Bhinge, Y. Levin-Schwartz, Z. Boukouvalas, V. D. Calhoun, and T. Adalı, "The role of diversity in data-driven analysis of multi-subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics", Human Brain Mapping, vol. 40, no. 2, pp. 489-504, Feb. 2019. PDF
41. T. Adali, M. A. B. S. Akhonda, and V. D. Calhoun, "ICA and IVA for Data Fusion: An Overview and a New Approach Based on Disjoint Subspaces", IEEE Sensors, Special Issue on Multimodal Data Fusion, vol. 3, no. 1, article sequence no. 7100404, Jan. 2019.
42. Y. Levin-Schwartz, V. D. Calhoun, and T. Adalı, "A method to compare the discriminatory power of data-driven methods: Application to ICA and IVA", J. Neuroscience Methods, vol. 311, pp. 267-276, Jan. 2019.
43. A. Iqbal, A.-K. Seghouane, and T. Adalı, “Shared and subject-specific dictionary learn- ing algorithm for multi-subject fMRI data analysis,� IEEE Trans. Biomed. Eng., vol. 65, no. 11, pp. 2519-2528, Nov. 2018.
44. D. Emge, Y. Levin-Schwartz, Z. Boukouvalas, and T. Adalı, “Power spectra constrained IVA for SSVEP detection,� Biomedical Physics and Eng. Express, vol. 5, 015008, Nov. 2018.
45. R. L. Miller. A. Abrol, T. Adalı, Y. Levin-Schwartz, and V. D. Calhoun, “Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and Simulations,� Frontiers in Neuroscience, Perspective, vol. 12, article: 551, pp. 1-18, September 2018.
46. T. Adalı, H. J. Trussell, L. K. Hansen, and V. D. Calhoun, “The dangers of following trends in research: Sparsity and other examples of hammers in search of nails,� Proc. IEEE, vol. 106, no. 6, pp. 1014-1018, June 2018.
47. Q. Yu, Y. Du, J. Chen, J. Sui, T. Adalı, G. D. Pearlson, and V. D. Calhoun, "Application of graph theory to assess static and dynamic brain connectivity: Approaches for building brain graphs", Proc. IEEE, vol. 106, no. 5, May 2018. PDF
48. W. Du, R. Phlypo, and T. Adalı, “Adaptive feature selection and feature fusion for semi-supervised classification,� Signal Processing Systems for Signal, Image, and Video Technology, pp., 1-17, March 2018.
49. M. Yaesoubi, T. Adalı, and V. D. Calhoun, “A window-less approach for capturing time-varying connectivity in fMRI data reveals the presence of states with variable rates of change,� Human Brain Mapping, vol. 39, no. 4, pp. 1626-1636, April 2018.
50. Z. Boukouvalas, V. D. Calhoun, and T. Adalı, “Sparsity and independence: Balancing two objectives in optimization for source separation with application to fMRI analysis,� Journal of the Franklin Institute, vol. 355, no. 4, pp. 1873-1887, March 2018. PDF
51. M.-A. Vu, T. Adalı, D. Ba, G. Buzs �aki, D. Carlson, K. Heller, C. Liston, C. Rudin, V. Sohal, A. Widge, H. Mayberg, G. Sapiro, and K. Dzirasa, “A shared vision for machine learning in neuroscience,� Journal of Neuroscience, vol. 38, no. 4, pp. 1601-1607, Feb 2018.
52. Y. Levin-Schwartz, V. D. Calhoun, T. Adali, "Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia," IEEE Transactions on Medical Imaging, 2017.
53. Y. Du, D. Lin, Q. Yu, J. Sui, J. Chen, S. Rachakonda, T. Adalı, and V. D. Calhoun, “Comparison of IVA and GIG-ICA in brain functional network estimation using fMRI data,� Frontiers in Neuroscience, vol. 11, Article 267, pp. 1-18, May 2017.
54. R. F. Silva, S. M. Pils, J. Sui, M. S. Pattichis, T. Adali, and V. D. Calhoun, "Blind source separation for unimodal and multimodal brain networks: A unifying framework for subspace modeling," IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 1134-1149, Oct. 2016.
55. Y. Levin-Schwartz, Y. Song, P. J. Schreier, V. D. Calhoun, and T. Adali, "Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data," NeuroImage, vol. 134, pp. 486-493, July 2016.
56. J. Xia, L. Bombrun, T. Adali, Y. Berthoumieu, and C. Germain, "Spectral-Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 8, pp. 4971-4982, May 2016.
57. V. D. Calhoun and T. Adali, "Time-Varying Brain Connectivity in fMRI Data: Whole-brain data-driven approaches for capturing and characterizing dynamic states," IEEE Signal Processing Magazine, vol. 33, no. 3, pp. 52-66, May 2016.
58. R. L. Miller. M. Yaesoubi, J. Turner, D. Mathalon, A. Preda, G. Pearlson, T. Adali, and V. D. Calhoun, "Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients," PLoS ONE, vol. 11, no. 3, pp. 1-24, March 16, 2016.
59. W. Du, Y. Levin-Schwartz, G.-S. Fu, S. Ma, V. D. Calhoun, and T. Adali, "The role of diversity in complex ICA algorithms for fMRI analysis," Journal of Neuroscience Methods, vol. 264, pp. 129-135, March 15, 2016.
60. D. Emge, F. Vialatte, G. Dreyfus, and T. Adali, "Independent vector analysis for SSVEP signal enhancement, detection, and topographical mapping," Brain Topography, March 3, 2016.
61. G. Zhou, Q. Zhao, Y. Zhang, T. Adali, S. Xie, and A Cichocki, "Linked component analysis from matrices to high order tensors: Applications to biomedical data," Proc. IEEE, vol. 201, no. 2, pp. 310-331, Feb. 2016.
62. S. Gopal, R. Miller, A. Michael, T. Adali, M. Cetin, J. Bustillo, S. A. Baum, and V. D. Calhoun, "Spatial variance in resting fMRI networks of schizophrenia patients: an independent vector analysis," Schizophrenia Bulletin, vol. 42, no. 1, pp. 152-160, Jan. 2016.
63. Z. Boukouvalas, S. Said, L. Bombrun, Y. Berthoumieu, and T. Adali, "A new Riemannian averaged fixed-point algorithm for MGGD parameter estimation," IEEE Signal Proc. Letts., vol. 22, no. 12, pp. 2314-2318, Dec. 2015.
64. T. Adali, Y. Levin-Schwartz, and V. D. Calhoun, "Multimodal data fusion using source separation: Two effective models based on ICA and IVA and their properties," Proc. IEEE, vol. 103, no. 9, pp. 1478-1493, Sep. 2015.
65. T. Adali Y. Levin-Schwartz, and V. D. Calhoun, "Multimodal data fusion using source separation: Application to medical imaging," Proc. IEEE, vol. 103, no. 9, pp. 1494-1506, Sep. 2015. PDF
66. D. Lahat, T. Adali and C. Jutten, "Multimodal data fusion: An overview of methods, challenges, and prospects," Proc. IEEE, vol. 103, no. 9, pp. 1449-1477, Sep. 2015. PDF
67. V. D. Calhoun, R. Silva, T. Adali, and S. Rachakonda, "Comparison of PCA approaches for very large group ICA," NeuroImage, pp. 662-666, May 2015.
68. J. Laney, T. Adali, S. McCombe Waller; and K. Westlake, "Quantifying motor recovery after stroke using independent vector analysis and graph-theoretical analysis," NeuroImage Clinical, no. 8, pp. 298-304, 2015.
69. P. Acharjee, R. Phlypo, L. Wu, V. D. Calhoun, and T. Adali, "Independent vector analysis for gradient artifact removal in concurrent EEG-fMRI data," IEEE Trans. Biomed. Eng., vol. 62, no. 7, pp. 1750-1758, July 2015.
70. J. Laney, K. Westlake, S. Ma, E. Woytowicz, V. D. Calhoun, and T. Adali, "Capturing subject variability in fMRI data: A graph-theoretical analysis of GICA vs IVA," Journal of Neuroscience Methods, vol. 247, pp. 32-40, May 2015.
71. P. Rodriguez, M. Anderson, V. D. Calhoun, and T. Adali, "General nonunitary constrained ICA and its application to complex-valued fMRI data," IEEE Trans. Biomed. Eng., vol. 62, no. 3, pp. 922-929, March 2015.
    Correction of typos in Eqns. (18) and (19) and detailed derivation.
72. G.-S. Fu, R. Phlypo, M. Anderson, and T. Adali, "Complex Independent Component Analysis Using Three Types of Diversity: Non-Gaussianity, Nonwhiteness, and Noncircularity," IEEE Trans. Signal Processing, vol. 63, no. 3, pp. 794-805, Feb. 2015.
73. T. Adali, M. Anderson, and G.-S. Fu, "Diversity in independent component and vector analyses: Identifiability, algorithms, and applications in medical imaging," IEEE Signal Processing Magazine, vol. 31, no. 3, pp. 18-33, May 2014. PDF
74. T. Adali and P. J. Schreier,"Optimization and estimation of complex-valued signals: Theory and applications in filtering and blind source separation," IEEE Signal Processing Magazine, vol. 31, no. 5, pp. 112-128, Sep. 2014.
75. G.-S. Fu, R. Phlypo, M. Anderson, X.-L. Li, and T. Adali, "Blind source separation by entropy rate minimization," IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 4245-4255, Aug. 2014.
76. G.-S. Fu, M. Anderson, and T. Adali, "Likelihood estimators for dependent samples and their application to order selection," IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 4237-4244, Aug. 2014.
77. M. Anderson, G.-S. Fu, R. Phlypo, and T. Adali, "Independent Vector Analysis: Identification Conditions and Performance Bounds," IEEE Trans. Signal Processing, vol. 62, no. 17, pp. 4399-4410, Sep. 2014.
78. A. Michael, M. Anderson, R. Miller, T. Adali, and V. D. Calhoun, "Preserving subject variability in group fMRI analysis: Performance evaluation of GICA vs IVA," Frontiers Syst. Neuroscience, vol. 8, pp. 106-113, June 2014. NIH Public Access full text
79. R. Silva, S. Pils, T. Adali, and V. D. Calhoun, "A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging," NeuroImage, vol. 102, part 1, pp. 92-117, Nov. 2014.
80. M. R. Arbabshirani, E. Damaraju, R. Phlypo, S. Plis, E. Allen, S. Ma, D. Mathalon, A. Preda, J. G. Vaidya, T. Adali, and V. D. Calhoun, "Impact of autocorrelation on functional connectivity," NeuroImage, vol. 102, part 2, pp. 294-308, Nov. 2014.
81. V. D. Calhoun, R. Miller, G. Pearlson, and T. Adali, "The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery," Neuron, vol. 84, no. 2, Oct. 22, 2014.
82. D. Hjelm, R. Salakhutdinov, E. Allen, S. Pils, T. Adali, and V. D. Calhoun, "Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks," NeuroImage, vol. 96, pp. 245-260, August 2014.
83. P. Rodriguez, M. Anderson, X.-L. Li, and T. Adali, "General non-orthogonal constrained ICA," IEEE Trans. Signal Processing, vol. 62, no. 11, pp. 2778-2786, June 2014.
    Correction of typos in Eqns. (16) and (17) and detailed derivation.
84. R. Arablouei, K. Dogancay, and T. Adali, "Unbiased recursive least-squares estimation utilizing dichotomous coordinate-descent iterations," IEEE Trans. Signal Processing, vol. 62, no. 11, pp. 2973-2983, June 2014.
85. S. Ma, V. D. Calhoun, R. Phlypo, and T. Adali, "Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis," NeuroImage, vol. 90, pp. 196-206, April 2014.
86. X.-L. Li, and T. Adali, "Noncircular complex ICA by generalized Householder reflections," IEEE Trans. Signal Processing, vol. 61, no. 24, pp. 6423-6430, Dec. 2013.
87. V. D. Calhoun, V. K. Potluru, R. Phlypo, R. F. Silva, B. A. Pearlmutter, A. Caprihan, S. M. Plis, and T. Adali, "Independent component analysis for brain fMRI does indeed select for maximal independence," PLoS ONE, vol. 8, no. 8: e73309.
88. Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki, "Kernelization of Tensor-based models for multimodal data analysis," IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 137-148, July 2013.
89. J. Sui, H. He, G. D. Pearlson, T. Adali, K. A. Kiehl, Q. Yu, V. P. Clark, E. Castro, T. White, B. A. Mueller, B. C. Ho, N. C. Andreasen, and V. D. Calhoun, "Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia," NeuroImage, vol. 66, pp. 119-132, Feb. 2013. NIH Public Access full text
90. V. D. Calhoun and T. Adali, "Multi-subject independent component analysis of fMRI: A decade of intrinsic networks, Default Mode, and Neurodiagnostic Discovery," IEEE Reviews in Biomedical Engineering, invited contribution, vol. 5, pp. 60-73, 2012.
91. V. D. Calhoun and T. Adali "Analysis of complex-valued functional magnetic resonance imaging data: Are we just going through a phase?" Scientific Quarterly Journal Bulletin of the Polish Academy of Sciences, invited contribution, vol. 60, no. 3, Dec. 2012.
92. X.-L. Li, and T. Adali "Complex-valued linear and widely linear filtering using MSE and Gaussian entropy," IEEE Trans. Signal Processing, vol. 60, no. 11, Nov. 2012, pp. 5672-5684, Nov. 2012.
93. S. Ma, V. D. Calhoun, T. Eichele, and T. Adali "Modulations of functional connectivity in healthy and schizophrenia groups during task and rest," NeuroImage, vol. 62, no. 3, pp. 1694-1704, Sep. 2012.
94. W. Wang, T. Adali, and D. Emge, "A novel approach for target detection and classification using canonical correlation analysis," Signal Processing Systems for Signal, Image, and Video Technology, vol. 68, no. 3, pp. 379-390, Sep. 2012.
95. M. Anderson, X.-L. Li, and T. Adali, "Complex-valued independent vector analysis: application to multivariate Gaussian model," Signal Processing, vol. 92, no. 8, pp. 1821-1831, Aug. 2012.
96. P. Rodriguez, V. D. Calhoun, T. Adali, "De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data," Pattern Recognition, vol. 45, pp. 2050-2063, June 2012. NIH Public Access full text
97. W. Du, V. D. Calhoun, H. Li, S. Ma, T. Eichele, K. A. Kiehl, G. D. Pearlson, and T. Adali "High classification accuracy for schizophrenia with rest and task fMRI data," Frontiers in Human Neuroscience, vol. 6, Article 145, 12 pages, May 2012. NIH Public Access full text
98. M. Anderson, X.-L. Li, and T. Adali, "Joint blind source separation with multivariate Gaussian model: Algorithms and performance analysis," IEEE Trans. Signal Processing, vol. 60, no. 4, pp. 2049--2055, April 2012.
    Correction of a typo in Eqn. (25) and detailed derivation.
99. H. Li, X-L. Li, M. Anderson, and T. Adali, "A class of adaptive algorithms based on entropy estimation achieving CRLB for linear non-Gaussian filtering," IEEE Trans. Signal Processing, ol. 60, no. 4, pp. 2049-2055, April 2012.
100. V. D. Calhoun, T. Eichele, T. Adali and E. A. Allen, "Decomposing the brain: components and modes, networks and nodes," Trends in Cognitive Sciences, Spotlight article, vol. 16, no. 5, pp. 255-256, April 2012. NIH Public Access full text
101. M. Mboup and T. Adali, "A generalization of the Fourier transform and its application to spectral analysis of chirp-like signals," Applied and Computational Harmonic Analysis, vol. 32, no. 2, pp. 305-312, March 2012.
102. J. Sui, T. Adali Q. Yua, J. Chena, V. D. Calhoun, "A Review of multivariate methods for multimodal fusion of brain imaging data," J. Neuroscience Methods, pp. 68-81, vol. 204, no. 1, pp. 68-81, Feb. 2012. NIH Public Access full text
103. L. Luo, L. Xu, R. Jung, G. Pearlson, T. Adali, and V. D. Calhoun, "Constrained source based morphometry identifies structural networks associated with default mode network," Brain Connectivity, vol. 2012, no. 735249, 18 pages, 2012. NIH Public Access full text
104. L. Xu, T. Adali, D. Schretlen, G. Pearlson, and V. D. Calhoun, "Structural angle and power images reveal interrelated gray and white matter abnormalities in schizophrenia," Neurology Research Int., vol. 2012, no. 735249, 18 pages, 2012. NIH Public Access full text
105. Y.-O. Li, T. Eichele, V.D. Calhoun, and T. Adali," "Group study of simulated driving fMRI data by multiset canonical correlation analysis," Signal Processing Systems for Signal, Image, and Video Technology, vol. 68, no. 1, pp. 31-48, 2012. NIH Public Access full text
106. W. Xiong, Y.-O. Li, N. Correa, X.-L. Li, V. D. Calhoun, and T. Adali, " Order selection of the linear mixing model for complex-valued fMRI data," Signal Processing Systems for Signal, Image, and Video Technology, vol. 2012, no. 735249, 18 pages, 2012. NIH Public Access full text
107. S. Ma, N. Correa, X.-L. Li, T. Eichele, V. D. Calhoun, and T. Adali "Automatic identification of functional clusters in fMRI data using spatial dependence," IEEE Trans. Biomed. Eng., vol. 58, no. 12, pp. 3406-3017, Dec. 2011. NIH Public Access full text
108. P. Rodriguez, N. M. Correa, T. Eichele, V. D. Calhoun, and T. Adali, "Quality map thresholding for denoising of complex-valued fMRI data and its application to ICA of fMRI," Signal Processing Systems for Signal, Image, and Video Technology, vol.65, no. 3, pp. 497-508, Dec. 2011.
109. E. B. Erhardt, S. Rachakonda, E. Bedrick, E. Allen, T. Adali, and V. D. Calhoun, "Comparison of multi-subject ICA methods for analysis of fMRI data," Human Brain Mapping, vol. 32, no. 12, pp. 2075-2095, Dec. 2011. NIH Public Access full text
110. T. Adali, D. J. Miller, K. Diamantaras, and J. Larsen, "Trends in Machine Learning for Signal Processing [In the Spotlight]," IEEE Signal Processing Magazine, vol. 28, no. 6, pp. 193-196, Nov. 2011.
111. T. Adali, P. J. Schreier, and L. L. Scharf, "Complex-valued signal processing: The proper way to deal with impropriety," IEEE Trans. Signal Processing (overview paper), vol. 59, no. 11, pp. 5101-5123, Nov. 2011. PDF
112. M. Novey, E. Ollila, and T. Adali, "On testing the extent of noncircularity," IEEE Trans. Signal Processing, vol. 59, no. 11, pp. 5632-5637, Nov. 2011.
113. X.-L. Li, T. Adali, and M. Anderson, "Noncircular principal component analysis and its application to model selection," IEEE Trans. Signal Processing, vol. 59, no. 10, pp. 4516-4528i, Oct. 2011.
114. H. Li, N. Correa, P. A. Rodriguez, V. D. Calhoun, T. Adali, "Application of independent component analysis with adaptive density model to complex-valued fMRI data," IEEE Trans. Biomed. Eng., vol. 58, no. 10, part 1, pp. 2794-2803, Oct 2011. NIH Public Access full text
115. X.-L. Li, M. Anderson, and T. Adali "Joint blind source separation by generalized joint diagonalization of cumulant matrices," Signal Processing, vol. 91, no. 10, pp. 2314-2322, Oct. 2011.
116. J. Sui, G. Pearlson, A. Caprihan, T. Adali, K. A. Kiehl, J. Liu, J. Yamamoto, and V. D. Calhoun, "Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model," NeuroImage, vol. 57, no. 3, pp. 839-855, Aug. 2011. NIH Public Access full text
117. X.-L. Li and T. Adali, "Blind separation of noncircular correlated sources using Gaussian entropy rate," IEEE Trans. Signal Processing, vol.~59, no. 6, pp. 2969--2975, June 2011.
118. S. Khullar, A. M. Michael, N. Correa, T. Adali, S. A. Baum, and V. D. Calhoun, "Wavelet-based fMRI analysis: 3-D de-noising, signal separation, and validation metrics," NeuroImage, vol. 54, no. 4, pp. 2867-2884, Feb. 2011. NIH Public Access full text
119. H. Li and T. Adali, "Stability analysis and Newton algorithm for complex maximum likelihood ICA using Wirtinger calculus," IEEE Trans. Signal Processing, vol. 58, no. 12, pp. 6156--6167, Dec. 2010.
The version that corrects the values of γ in Table II and restores a missing parentheses on page 7.
120. J. Arribas, V. D. Calhoun, and T. Adali, "Automatic Bayesian classification of healthy controls, bipolar disorder and schizophrenia using intrinsic connectivity maps from fMRI data," IEEE Trans. Biomed. Eng., vol. 57, no. 12, pp. 2850-2860, Dec. 2010. NIH Public Access full text
121. X.-L. Li and T. Adali, "Independent component analysis by entropy bound minimization," IEEE Trans. Signal Processing, vol. 58, no. 10, pp. 5151-5164, Oct. 2010.
     * Note: In Eqn. (21), the max operator should be replaced by the min operator.
122. N. M. Correa, T. Adali, and V. D. Calhoun, ""Canonical correlation analysis for data fusion and group analysis: Examining applications of medical imaging data," IEEE Signal Processing Magazine, vol. 27, no. 4, pp. 39-50, July 2010. NIH Public Access full text
123. X.-L. Li and T. Adali, "Complex independent component analysis by entropy bound minimization," IEEE Trans. Circuits and Systems I, vol. 57, no. 7, pp. 1417-1430, July 2010.
124. J. Sui, T. Adali, G. Pearlson, H. Yang, S. R. Sponheim, T. White, and V. D. Calhoun, "A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia," NeuroImage, vol. 51, no. 1, pp. 123-134, May 2010. NIH Public Access full text
125. N. M. Correa, T. Eichele, T. Adali, Y.-O. Li, and V. D. Calhoun, "Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI," NeuroImage, vol. 50, no. 4, pp. 1438-1445, May 2010. NIH Public Access full text
126. W. Xiong, H. Li, T. Adali, Y.-O. Li, and V. D. Calhoun, "On entropy rate for the complex domain and its application to i.i.d. sampling," IEEE Trans. Signal Processing, vol. 58, no. 4, pp. 2409--2414, April 2010. NIH Public Access full text
127. M. Novey, T. Adali, and A. Roy, "A complex generalized Gaussian distribution- characterization, generation, and estimation," IEEE Trans. Signal Processing, vol. 58, no. 3, part. 1, pp. 1427-1433, March 2010.
     The version that corrects a typo in equation (7)
128. S. K. Arja, Z. Feng, Z. Chen, A. Caprihan, K. A. Kielh, T. Adali, and V. D. Calhoun, "Changes in fMRI magnitude data and phase data observed in block-design and event-related tasks," NeuroImage, vol. 49, no. 4, pp. 3149-3160, Feb. 2010. NIH Public Access full text
129. M. Novey, T. Adali, and A. Roy, " Circularity and Gaussianity detection using the complex generalized Gaussian distribution," IEEE Signal Proc. Letts., vol. 16, no. 11, pp. 993-996, Nov. 2009.
130. Y.-O. Li, T. Adali, W. Wang, and V. D. Calhoun, "Joint blind source separation by multi-set canonical correlation analysis," IEEE Trans. Signal Processing, vol. 57, no. 10, pp. 39183929, Oct. 2009. NIH Public Access full text
131. V. D. Calhoun and T. Adali, "Feature-based fusion of medical imaging data," IEEE Trans. Info. Tech. and Biomedicine, vol. 13, no. 5, pp. 711-720, Sep. 2009. NIH Public Access full text
132. J. Sui, T. Adali, V. Clark, G. Pearlson, and V. D. Calhoun, "A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework," Human Brain Mapping, vol. 30, pp. 2953-2970, Sep. 2009. NIH Public Access full text
133. J. Sui, T. Adali, G. Pearlson, V. D. Calhoun, An ICA-based method for the identification of optimal fMRI features and components using combined group-discriminative techniques, NeuroImage, vol. 46, no. 1, pp. 73-86, May 2009.
134. W. Wang, T. Adali, and D. Emge, "Subspace partitioning for target detection and identification," IEEE Trans. Signal Processing, vol. 57, no. 4, April 2009.
135. V. D. Calhoun, J. Sui, T. Adali, "A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data," NeuroImage, vol. 45, no. 1, supp. 1, pp. S163--S172, March 2009. NIH Public Access full text
136. N. Correa, Y.-O. Li, T. Adali, and V. D. Calhoun, "Canonical correlation analysis for feature-based fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia," Special Issue on fMRI Analysis for Human Brain Mapping, IEEE J. Selected Topics in Signal Processing, vol. 2, no. 6, pp. 998-1007, Dec. 2008. NIH Public Access full text
137. T. Adali, H. Li, M. Novey, and J.-F. Cardoso, "Complex ICA using nonlinear functions," IEEE Trans. Signal Processing, vol. 56, no. 9, pp. 4536--4544, Sept. 2008.
138. M. Novey and T. Adali, "On extending the complex FastICA algorithm to noncircular sources," IEEE Trans. Signal Processing, vol. 56, no. 5, pp. 2148-2154, May 2008.
139. H. Li and T. Adali, "Complex-valued adaptive signal processing using nonlinear functions," Journal on Advances in Signal Processing, Special issue on Emerging Machine Learning Techniques in Signal Processing, vol. 2008, Article ID 765615, 9 pages, 2008.
140. H. Safavi, N. Correa, W. Xiong, A. Roy, T. Adali, V. R. Korostyshevskiy, C. C. Whisnant, and F. Seillier-Moiseiwitsch, "Independent component analysis of 2-D Electrophoresis gels", Electrophoresis, vol. 29, no. 19, pp. 4017--4026, 2008.
141. M. Novey and T. Adali, "Complex ICA by negentropy maximization," IEEE Trans. Neural Networks, vol. 19, no. 4, pp. 596-609, April 2008.
142. H. Li and T. Adali, "A class of complex ICA algorithms based on the kurtosis cost function," IEEE Trans. Neural Networks, vol. 19, no. 3, pp. 408-420, March 2008.
143. T. Adali and V. D. Calhoun, " Complex ICA of brain imaging data," IEEE Signal Processing Mag., vol. 24, no. 5, pp. 136-139, Sept. 2007.
144. Y.-O. Li, T. Adali, and V. D. Calhoun, " A feature-selective independent component analysis method for functional MRI," Int. Journal of Biomedical Imaging, 2007, (12 pages). NIH Public Access full text Full info at publisher's site
145. W. Wang and T. Adali, "Detection using correlation bound in a linear mixture model," Signal Processing, vol. 87, pp. 1118-1127, 2007.
146. N. Correa, T. Adali, and V. D. Calhoun, "Performance of blind source separation algorithms for fMRI analysis using a group ICA method," Magnetic Resonance Imaging, vol. 25, no. 5, pp. 684-694, June 2007. NIH Public Access full text
147. Y.-O. Li, T. Adali, and V. D. Calhoun, "Estimating the number of independent components for fMRI data," Human Brain Mapping, vol. 28, pp. 1251-66, 2007.
148. H. Li, T. Adali, W. Wang, D. Emge, and A. Cichocki, "Non-negative matrix factorization with orthogonality constraints and its application to Raman spectroscopy," VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 48, nos. 1-2, pp. 83-97, August 2007.
149. W. Xi and T. Adali, "Integrated MAP equalization and coding for optical fiber communications systems," Journal of Lightwave Tech., vol.24, no.10, pp.3663-3670, Oct. 2006.
150. V. D. Calhoun and T. Adali, "Unmixing fMRI with independent component analysis," IEEE Engineering in Medicine and Biology Magazine, vol.25, no.2, pp.79-90, March/April 2006.
151. V. D. Calhoun, T. Adali, K. A. Kiehl, R. Astur, J. J. Pekar, and G. D. Pearlson, "A method for multi-task fMRI data fusion applied to schizophrenia," Human Brain Mapping, vol. 27, no. 7, pp. 598-610, 2006.
152. V. D. Calhoun and T. Adali, "Complex Infomax: Convergence and approximation of Infomax with complex nonlinearities," VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 44, nos. 1/2, pp. 173-190, August 2006.
153. J. Xuan, Y. Wang, M. T. Freedman, T. Adali, and P. G. Shields, "Nonrigid medical image registration by finite-element deformable sheet-curve models," Int. Journal of Biomedical Imaging, vol. 2006, article ID 73430, 9 pages, 2006. NIH Public Access full text
154. V. D. Calhoun, T. Adali, G. D. Pearlson, and K. A. Kiehl, "Neuronal chronometry of target detection: Fusion of hemodynamic and event-related potential data," Neuroimage, vol. 30, no. 2, pp. 544-553, April 2006.
155. V. D. Calhoun, T. Adali, N. R. Giuliani, J. J. Pekar, K. A. Kiehl, and G. D. Pearlson, "Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data," Human Brain Mapping, vol. 27, no. 1, pp. 47-62, 2006.
156. J. Xuan, Y. Wang, Q. Zheng, and T. Adali, "Discontinuity-embedded deformable models for surface reconstruction from range images," IEEE Signal Proc. Letts., vol. 12, no. 12, pp. 805-808, Dec. 2005.
157. W. Xi, T. Adali, and J. Zweck, "A MAP equalizer for the optical communications channel," Journal of Lightwave Tech., vol. 23, no. 12, pp. 3989-3996, Dec. 2005.
158. T. Adali and H. Ni, "Partial likelihood for online order selection," Signal Processing, Special Issue on Information Theoretic Signal Processing, vol. 85, no. 5, pp. 917-926, May 2005 (invited).
159. V. D. Calhoun, T. Adali, M. Stevens, K. Kiehl and J. J. Pekar, "Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis," Neuroimage, vol. 25, no. 2, pp. 527-538, April 2005.
160. W. Wang and T. Adali, "Eigenanalysis of autocorrelation matrices in the presence of noncentral and signal-dependent noise," IEEE Signal Proc. Letts., vol. 12, no. 2, pp, 85-88, Feb. 2005.
161. V. D. Calhoun, T. Adali, and J. J. Pekar, "A method for comparing group fMRI data using independent component analysis: Application to visual, motor, and visuomotor tasks," Magnetic Resonance Imaging, vol. 22, pp. 1181-1191, 2004.
162. V. D. Calhoun, T. Adali, G. D. Pearlson, "Independent component analysis applied to fMRI data: A generative model for validating results," VLSI Signal Processing Systems for Signal, Image, and Video Technology, Double Special Issue: Biomedical and Communications Applications of Neural Networks, vol. 37, no. 2/3, pp. 281-291, June/July 2004.
163. B. Wang and T. Adali, "A frequency-domain training approach for equalization and noise suppression in discrete multitone systems," Signal Processing, vol. 84, no. 2, pp. 327-339, 2004.
164. V. D. Calhoun, T. Adali, J. J. Pekar, G. D. Pearlson, "Latency (in)sensitive ICA: Group independent component analysis of fMRI data in the temporal frequency domain," Neuroimage, vol. 20, no. 3, pp. 1661-1669, Nov. 2003.
165. T. Kim and T. Adali, "Approximation by fully-complex multilayer perceptrons," Neural Computation, vol. 15, no. 7, pp. 1641-1666, July 2003.
166. A. O. Lima, I. T. Lima, Jr., C. R. Menyuk, and T. Adali, "Comparison of power penalties due to first- and all-order PMD distortions in optical fiber transmission systems," Optics Letts., vol. 28, no. 5, pp. 310-312, 2003.
167. Y. Cai, J.M. Morris, T. Adali, and C.R. Menyuk, "On Turbo code decoder performance in optical fiber communication systems with dominating ASE noise", Journal of Lightwave Tech., vol. 21, no. 3, pp. 727-734, March 2003.
168. T. Adali and H. Ni, "Partial likelihood for real-time signal processing," IEEE Trans. Signal Proc., vol. 51, no. 1, pp. 204-212, Jan.2003.
169. T. Kim and T. Adali, "Fully complex multilayer perceptron for nonlinear signal processing," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 32, pp. 29-43, Aug.-Sep. 2002.
170. V. D. Calhoun, T. Adali, G. D. Pearlson, P. C. M. van Zijl, and J. J. Pekar, "Independent component analysis of fMRI data in the complex domain," Magnetic Resonance in Medicine, vol. 48, issue 1, pp. 180-192, July 2002.
171. V. D. Calhoun, J. J. Pekar, V. B. McGinty, T. Adali, T. D. Watson, and G. D. Pearlson, "Different activation dynamics in multiple neural systems during simulated driving," Human Brain Mapping, vol. 16, no. 3, July 2002.
172. A. O. Lima, I. T. Lima, Jr., T. Adali, and C. R. Menyuk, "A novel polarization diversity receiver for PMD mitigation," IEEE Photonics Technology Letters, vol. 14, no. 4, pp. 465-467, April 2002.
173. Y. Cai, T. Adali, J. M. Morris, and C. R. Menyuk, "Sliding window criterion codes and concatenation scheme for mitigating timing jitter induced errors in WDM optical fiber transmissions," Journal of Lightwave Tech., vol. 20, no. 2, pp. 201-212, Feb. 2002.
174. J. Xuan, T. Adali, Y. Wang, W. Hayes, J. Lynch, M. Freedman, and S. K. Mun, "A computerized simulation system for prostate needle biopsy," Simulation and Gaming, Special issue on Medical and Healthcare Simulation, Part 2, vol. 32, no. 3, pp. 391-403, Sep. 2001.
175. Y. Wang, T. Adali, J. Xuan, Z. Szabo, "Magnetic resonance image analysis by information theory and stochastic site model," IEEE Trans. Information Technology in Biomedicine, vol. 5, no. 2, pp. 150-158, June 2001.
176. V. D. Calhoun, T. Adali, M. Kraut, and G. Pearlson, "Spatial versus temporal independent component analysis of functional MRI data containing a pair of task-related waveforms," Human Brain Mapping, vol. 13, pp. 43-53, 2001.
177. V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar, "A method for making group inferences from functional MRI data using independent component analysis," Human Brain Mapping, vol. 14, pp. 140-151, 2001.
178. V. D. Calhoun, T. Adali, V. McGinty, J. Pekar, T. Watson, and G. Pearlson, "fMRI activation in a visual perception task: network of areas detected using the general linear model and independent component analysis", Neuroimage, vol. 14, pp. 1080-1088, 2001.
179. J. Xuan, T. Adali, Y. Wang, and E. Siegel, "Automatic detection of foreign objects in computed radiography," Journal of Biomedical Optics, vol. 5, no. 4, pp. 425-431, Oct. 2000.
180. V. D. Calhoun, T. Adali, M. Kraut, and G. Pearlson, "A weighted least squares algorithm for estimation and visualization of real event related functional MRI," Magnetic Resonance in Medicine, vol. 44, pp. 947-954, 2000.
181. H. Ni, T. Adali, B. Wang, and X. Liu, "A general probabilistic formulation for supervised neural classifiers," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 26, nos. 1/2, pp. 141-153, Aug. 2000 (invited).
182. T. Adali and S. H. Ardalan, "On Steady-state performance of the fixed-point RLS algorithm," Computers and Electrical Engineering, vol. 25, no. 1, pp. 1-16, Jan. 1999.
183. T. Adali, B. Bakal, M. K. Sönmez, and R. Fakory, "NOx and CO prediction with variable tapped delay line neural networks," Journal of Integrated Computer-Aided Engineering, Special Issue on Neural Techniques for Industrial Applications, vol. 6, no. 1, pp. 27-39, 1999.
184. T. Adali, Y. Wang, and N. Gupta, "A block-wise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences," International Journal of Imaging Systems, Special Issue on Image Sequence Processing, vol. 9, pp. 340-350, Oct. 1998.
185. Y. Wang, T. Adali, S.-Y. Kung, and Z. Szabo, "Quantification and segmentation of brain tissue from MR images: A probabilistic neural network approach," IEEE Trans. Image Processing, Special Issue on Applications of Neural Networks to Image Processing, vol. 7, no. 8, pp. 1165-1181, Aug. 1998. NIH Public Access full text
186. T. Adali, B. Wang, A. N. Pilipetskii, and C. R. Menyuk, "A filtering approach for reducing timing jitter due to the acoustic effect" Journal of Lightwave Tech., vol. 16, no. 6,pp. 986-989, June 1998.
187. Y. Wang, T. Adali, C. Lau, and S.-Y. Kung, "Quantitative analysis of MR brain image sequences by adaptive self-organizing mixtures," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Biomedical Image Processing, vol. 18, no. 3, pp. 219-239, Apr. 1998.
188. T. Adali and X. Liu, "Canonical piecewise linear network for nonlinear adaptive filtering and its application to blind equalization," Signal Processing, vol. 61, no. 2, pp. 145-155, Sep. 1997.
189. T. Adali, X. Liu, and M. K. Sönmez, "Conditional distribution learning with neural networks and its application to channel equalization," IEEE Trans. Signal Processing, vol. 45, no. 4, pp. 1051-1064, Apr. 1997.
190. Y. Wang, T. Adali, and S. C. B. Lo, "Automatic threshold selection using histogram quantization," Journal of Biomedical Optics, vol. 2, no. 2, pp. 211-217, Apr. 1997.
191. T. Adali, B. Bakal, M. K. Sönmez, R. Fakory, and O. Tsaoi, "Modeling core neutronics with recurrent neural networks," Neurocomputing, Special Issue on Recurrent Networks for Sequence Processing, vol 15, pp. 363-381, 1997.
192. T. Adali and S. H. Ardalan, "On the effect of input signal correlation on weight misadjustment in the RLS algorithm," IEEE Trans. Signal Processing, vol. 43, no. 4, pp. 988-991, Apr. 1995.
193. T. Adali and S. H. Ardalan, "Analysis of a stabilization technique for the fixed-point prewindowed RLS algorithm," IEEE Trans. Signal Processing, vol. 39, no. 9, pp. 2079-2082, Sep. 1991.

Book Chapters

1. V. D. Calhoun and T. Adalı, ICA for Fusion of Brain Imaging Data, Signal Processing Techniques for Knowledge Extraction and Information Fusion, D. Mandic, M. Golz, A. Kuh, D. Obradovic, and T. Tanaka, (editors), Springer, 2008.
2. T. Adalı and Y. Wang, Image Analysis and Graphics for Multimedia Presentation, Multimedia Image and Video Processing, L. Guan, S.-Y Kung, and J. Larsen (editors), CRC Press: Boca Raton, FL, 2000, pp. 201--241.
3. T. Adalı, Y. Wang, and H. Li, Applications of Neural Networks in Biomedical Signal Processing, (Chapter 12), Handbook of Neural Network Signal Processing, Y. H. Hu and J.-N. Hwang (editors), CRC Press, 2002, pp. 12-1 – 12-28.
4. Y. Wang and T. Adalı, Stochastic Model Based Image Analysis, Signal Processing for Magnetic Resonance Imaging and Spectroscopy, H. Yan editor, Marcel Dekker, 2002, pp. 365 – 399.

Editorials

1. T. Adali, "Today's Rapidly Evolving Education Landscape: Challenges and Opportunities [From the Editor]," IEEE Signal Processing Magazine, vol. 41, no. 2, pp. 3-5, March 2024, open access. PDF
2. T. Adali, "An Exciting Juncture for Signal Processing Research: On Building Bridges, Challenges, and Opportunities [From the Editor]," IEEE Signal Processing Magazine, vol. 41, no. 1, pp. 3-6, Jan. 2024, open access. PDF
3. R. Capobianco Guido, T. Adali, E. Björnson, L. Blanc-Feraud, U. Braga-Neto, B. Ghoraani, C. Jutten, A. J. Van Der Veen, H. V. Zhao, and X. Zhu, "IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]," IEEE Signal Processing Magazine, Part 1, vol. 40, no. 4, pp. 3-6, June 2023, open access. PDF Part 2, vol. 40, no. 5, pp. 8-11, July 2023, open access. PDF
4. T. Adali, R. Capobianco Guido, T. K. Ho, K. R. Müller, and S. Strother, "Interpretability, Reproducibility, and Replicability [From the Guest Editors]," IEEE Signal Processing Magazine, vol. 39, no. 4, pp. 5-7, July 2022, open access. PDF
5. D. Farina, A. Mohammadi, T. Adali, N. Thakor, and K. N. Plataniotis, "Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]," IEEE Signal Processing Magazine, vol. 38, no. 4, pp. 5-7, July 2021, open access. PDF
6. T. Adali and A. Ortega, "Scanning the Issue: Applications of Graph Theory," Proc. IEEE, vol. 106, no. 5, pp. 784-786, May 2018. PDF
7. T. Adali, C. Jutten, and L.K. Hansen, "Scanning the Issue: Special Issue on Multi-modal Data Fusion," Proc. IEEE, vol. 103, no. 9, pp. 1445-1447, Sep. 2015.
8. T. Adali, C. Jutten, A. Yeredor, A. Cichocki, and E. Moreau, "Source Separation and Applications [From the Guest Editors]," IEEE Signal Processing Magazine, vol. 31, no. 3, pp. 16-17, May 2014.
9. T. Adali, J. Wang, V. D. Calhoun, T. Eichele, M. McKeown, D. Van De Ville, "Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications," IEEE Trans. Multimedia, vol. 15, no. 5, pp. 973-974, Aug. 2013.
10. K. R. Müller, T. Adali, K. Fukumizu, J. Principe, and S. Theodoridis, "Editorial for the Special Issue on Advances in Kernel-based Learning for Signal Processing," IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 14-15, July 2013.
11. T. Adali, J. Wang, L. K. Hansen, M. McKeown, P. Ciuciu, and V. Calhoun, "Introduction to the Issue on fMRI Analysis for Human Brain Mapping," IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 5, pp. 813-816, Dec. 2008.
12. T. Adali and V. D. Calhoun, "A Wide Open Window: Our Guest Editors' Introduction to fMRI," IEEE Engineering in Medicine and Biology Magazine, Theme Issue on Functional MRI Analysis, vol. 25, no.2, pp. 22-23, March/April 2006.
13. D. J. Miller, T. Adali, M. Van Hulle, and J. Larsen, "Guest Editoral," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, pp. 171-175, 2004.
14. L. Guan, T. Adali, S. Katagiri, J. Larsen, and J. Principe, "Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing," IEEE Transactions on Neural Networks, Special Issue on Intelligent Multimedia Processing, vol. 13, no. 4, pp. 789-792, July 2002.
15. M. Van Hulle, J. Larsen, and T. Adali, "Guest Editors' Introduction," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, vol. 32, nos. 1/2, pp. 5-6, Aug.-Sep., 2002.
16. T. Adali, M. Van Hulle, and M. Niranjan, "Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, vol. 26, nos. 1/2, pp. 5-6, Aug. 2000.
17. T. Adali, "Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, vol. 18, no. 3, pp. 203-204.