Sparse Signal Recovery

    2016

  1. SE Chiu, B Rao, "Correlation learning on joint support recovery for more sources than measurements," Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016 IEEE. Note about an error in this paper
  2. P Helin, P Astola, B Rao, I Tabus, "Sparse modelling and predictive coding of subaperture images for lossless plenoptic image compression," 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON), 2016
  3. R Giri, BD Rao, F Mustiere, T Zhang, "Dynamic relative impulse response estimation using structured sparse Bayesian learning," 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 514-518
  4. 2015

  5. G Joseph, CR Murthy, R Prasad, BD Rao, "Online Recovery of Temporally Correlated Sparse Signals Using Multiple Measurement Vectors," 2015 IEEE Global Communications Conference (GLOBECOM), 1-6
  6. R Giri, BD Rao, "Hierarchical Bayesian formulation of Sparse Signal Recovery algorithms using scale mixture priors," 2015 49th Asilomar Conference on Signals, Systems and Computers, 67-71
  7. Y Ding, BD Rao, "Joint dictionary learning and recovery algorithms in a jointly sparse framework," 2015 49th Asilomar Conference on Signals, Systems and Computers, 1482-1486
  8. Riwik Giri and Bhaskar Rao, "Type i and type ii bayesian methods for sparse signal recovery using scale mixtures," IEEE Transactions on Signal Processing, 64 (13), 3418-3428
  9. 2014

  10. M. Al-Shoukairi and B.D. Rao, "Sparse Bayesian Learning Using Approximate Message Passing," Asilomar Conference on Signals, Systems, and Computers, Monterey, California, November 2014 (link)
  11. Ritwik Giri and Bhaskar D. Rao, "Bootstrapped Sparse Bayeian Learning For Sparse Signal Recovery," Asilomar Conference on Signals, Systems, and Computers, Monterey, California, November 2014 (link)
  12. Ranjitha Prasad, Chandra R Murthy and Bhaskar D Rao, "Joint Approximately Sparse Channel Estimation and Data Detection in OFDM Systems Using Sparse Bayesian Learning," IEEE Transactions on Signal Processing, Vol. 62, No. 14, Pages 3591-3603, July 2014
  13. Jing Wan, Zhilin Zhang, B Rao, Shiaofen Fang, Jingwen Yan, A Saykin, Li Shen, "Identifying the neuroanatomical basis of cognitive impairment in Alzheimer disease by correlation-and nonlinearity-aware sparse Bayesian learning," IEEE Transactions on Signal Processing, Vol. 33, No. 7, Pages 1475 - 1487, July 2014
  14. R. Prasad, C. R Murthy and B. D. Rao, "Nested Sparse Bayesian Learning for Block-Sparse Signals with Intra-Block Correlation," International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 2014
  15. Ranjitha Prasad, Chandra R Murthy, Bhaskar D Rao, "Nested sparse Bayesian learning for block-sparse signals with intra-block correlation," Acoustics, Speech and Signal Processing (ICASSP), May 2014
  16. Ritwik Giri, Bhaskar D Rao, "Block sparse excitation based all-pole modeling of speech," Acoustics, Speech and Signal Processing (ICASSP), May 2014
  17. 2013

  18. Z. Zhang, B. D. Rao, and T-P. Jung, "Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities," Asilomar Conference on Signals, Systems, and Computers, Monterey, California, November 2013
  19. Y. Jin and B. D. Rao, "Support Recovery of Sparse Signals in the Presence of Multiple Measurement Vectors," IEEE Transactions on Information Theory, Volume: 59 , Issue: 5, Page(s): 3139 - 3157, May 2013
  20. Zhilin Zhang, Bhaskar D. Rao, "Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation," IEEE Trans. on Signal Processing, vol. 61, no 8, pp 2009-2015, April 2013
  21. Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao, "Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Non-Invasive Fetal ECG via Block Sparse Bayesian Learning," IEEE Trans. on Biomedical Engineering, vol. 60, no. 2, pp. 300 - 309, February 2013
  22. Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao, "Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware," IEEE Trans. on Biomedical Engineering, vol. 60, no. 1, pp. 221 - 224, January 2013
  23. 2012

  24. Bhaskar D. Rao and Michelle Daniels, "Compressed Sensing Based Scalable Speech Coders," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2012
  25. B. D. Rao, Z. Zhang and Y. Jin, "Sparse Signal Recovery in the Presence of Intra-Vector and Inter-Vector Correlation," International Conference on Signal Processing and Communications, Indian Institute of Science, Bangalore, July 2012
  26. J. Wan, Z. Zhang, J. Yan, T. Li, B. D. Rao, S. Fang, S. Kim, S. Risacher, A. Saykin, L. Shen, "Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease," IEEE International Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 2012
  27. Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely-Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado, "Evolving Signal Processing for Brain-Computer Interface," Proceedings of the IEEE, vol. 100, Special Centennial Issue, pp. 1567-1584, May 2012
  28. Hwanjoon (Eddy) Kwon and B. D. Rao, "On The Benefits Of The Block-Sparsity Structure In Sparse Signal Recovery," International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, March 2012
  29. 2011

  30. Yuzhe Jin, Young-Han Kim and B. D. Rao, "Limits on Support Recovery of Sparse Signals via Multiple Access Communication Techniques," IEEE Transactions on Information Theory, Vol. 57, No. 12, pages 7877-7892, December 2011
  31. Zhilin Zhang, Bhaskar D. Rao, "Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning," IEEE Journal of Selected Topics in Signal Processing, Special Issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing, vol.5, no. 5, pp. 912-926, September 2011
  32. David Wipf, Bhaskar D. Rao and S. Nagarajan, "Latent Variable Bayesian Models for Promoting Sparsity," IEEE Transactions on Information Theory, pp. 6236-6255, September 2011
  33. Yuzhe Jin and Bhaskar D. Rao, "Multipass Lasso Algorithms for Sparse Signal Recovery," IEEE International Symposium on Information Theory, St. Petersburg, Russia, July 31, 2011
  34. Z. Zhang and B.D. Rao, "Iterative reweighted algorithms for sparse signal recovery with temporally correlated source vectors," IEEE International Conference on Acoustics, Speech and Signal Analysis, Prague, Czech Republic, pages: 3932 - 3935, May 22, 2011
  35. 2010

  36. Y. Jin and B.D. Rao, "On the Role of the Properties of the Nonzero Entries on Sparse Signal Recovery," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pages: 753-757, November 7, 2010
  37. Y. Jin, Y.-H. Kim, and B.D. Rao, "Performance Tradeoffs for Exact Support Recovery of Sparse Signals," IEEE International Symposium on Information Theory, Austin, TX, pages: 1558-1562, June 13, 2010
  38. Y. Jin, B. D. Rao, "Algorithms for Robust Linear Regression by Exploiting the Connection to Sparse Signal Recovery," IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, TX, March 2010
  39. Z. Zhang, B. D. Rao, "Sparse Signal Recovery in the Presence of Correlated Multiple Measurement Vectors," IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, TX, March 2010
  40. 2008

  41. Y. Jin and B. D. Rao, "Performance Limits of Matching Pursuit Algorithms," IEEE International Symposium on Information Theory, Toronto, Canada, July 2008
  42. J. Palmer, S. Makeig, K. K-Delgado , and B.D. Rao, "Newton Method for the ICA Mixture Model," IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Pages: 1805 - 1808, April 2008
  43. Y. Jin and B. D. Rao, "Insights Into the Stable Recovery of Sparse Solutions in Over Complete Representations Using Network Information Theory," IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Pages: 3921 - 3924, April 2008
  44. 2007

  45. J. McCall, D. P. Wipf, M. Trivedi and B. D. Rao, "Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning," IEEE Transactions on Intelligent Transportation Systems, Vol. 8, Issue 3, Pages: 431-440, September 2007
  46. D. P. Wipf and B. D. Rao, "An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem," IEEE Transactions on Signal Processing, Vol. 55, Issue 7, Part 2, pages: 3704-3716, July 2007
  47. D. P. Wipf, J. Palmer, B.D. Rao, and K. K-Delgado, "Performance Evaluation of Latent Variable Models with Sparse Priors," IEEE International Conference on Acoustics, Speech, and Signal Processing, Hawaii, Vol.2, Pages: 453 - 456, April 2007
  48. D. P. Wipf, R. R. Ramirez, J. A. Palmer, S. Makeig, and B. D. Rao, "Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization," Advances in Neural Information Processing Systems 19, B. Scholkopf, J. Platt, and T. Hoffman, editors, 2007
  49. J. A. Palmer, K. Kreutz-Delgado, B. D. Rao, and S. Makeig, "Modeling and Estimation of Dependent Subspaces with Non-Radially Symmetric and Skewed Densities," Proceedings of the 7th International Symposium on Independent Component Analysis (ICA ), Edited by M, 2007
  50. 2006

  51. D. P. Wipf and B. D. Rao, "Comparing the Effects of Different Weight Distributions on Finding Sparse Representations," Advances in Neural Information Processing Systems 18, MIT Press, December 2006
  52. J. A. Palmer, D. P. Wipf, K. Kreutz-Delgado, and B.D. Rao, "Variational EM Algorithms for Non-Gaussian Latent Variable Models," Advances in Neural Information Processing Systems 18, MIT Press, Y. Weiss, B. Scholkopf, and J. Platt, editors, 2006
  53. 2005

  54. D. P. Wipf and B. D. Rao, "Finding Sparse Representations in Multiple Response Models via Bayesian Learning," Workshop on Signal Processing with Adaptive Sparse Structured Representations, Rennes, France, November 2005
  55. S. F. Cotter, B. D. Rao, K. Engan, and K. K-Delgado, "Sparse Solutions to Linear Inverse Problems with Multiple Measurement Vectors," IEEE Transactions on Signal Processing, Vol. 53, Issue. 7, Pages: 2477 - 2488, July 2005. An early version of this work was published in the 1998 IEEE Digital Signal processing workshop and can be downloaded from here
  56. J. McCall, D. P. Wipf, M. M. Trivedi, B. Rao, "Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning," IEEE International Workshop on Machine Vision for Intelligent Vehicles in Conjunction with IEEE Inte, San Diego, June 2005
  57. 2004

  58. D. P. Wipf, J. A. Palmer, and B. D. Rao, "Perspectives on Sparse Bayesian Learning," Neural Information Processing Systems, Vol. 16, December 2004
  59. D. P. Wipf and B. D. Rao, "Sparse Bayesian Learning for Basis Selection," IEEE Transactions on Signal Processing, Special Issue on Machine Learning Methods in Signal Processi, Vol. 52, Pages: 2153 - 2164, August 2004
  60. J. Wu, M. M. Trivedi and B. D. Rao, "High Frequency Component Compensation based Super-Resolution Algorithm for Face Video Enhancement," Proceedings of the IEEE International Conference on Pattern Recognition, United Kingdom, Pages: 598-601, August 2004
  61. D. P. Wipf and B. D. Rao, "Probabilistic Analysis for Basis Selection via lp Diversity Measures," IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 2, Pages: 801 - 804, May 2004
  62. 2003

  63. D. P. Wipf and B. D. Rao, "Bayesian Learning for Sparse Signal Reconstruction," IEEE Conference on Acoustics, Speech, and Signal Processing, Vol. 6, Pages: VI_601-4, April 6, 2003
  64. D. P. Wipf and B. D. Rao, "Bayesian learning for sparse signal reconstruction," IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 6, Pages: 601- 604, April 2003
  65. B. D Rao, K. Engan, S.F. Cotter, J. Palmer, and K. K-Delgado, "Subset Selection in Noise Based on Diversity Measure Minimization," IEEE Transactions on Signal Processing, Vol. 51, Issue: 3, Pages: 760-770, March 2003
  66. K. K-Delgado, J. F. Murray, B. D. Rao, K. Engan, T. W. Lee, and T. J. Sejnowski, "Dictionary Learning Algorithms for Sparse Representation," Neural Computation, Vol. 15, Pages: 349-396, February 2003
  67. 2002

  68. S. F. Cotter and B. D. Rao, "Application of Total Least Squares (TLS) for Dictionary Learning," IEEE Asilomar Conference on Signals, Systems and Computers, Vol. 1, Pages: 963 - 966, November 2002
  69. S. F. Cotter, K. K-Delgado and B. D. Rao, "Efficient Backward Elimination Algorithm for Sparse Signal Representation Using Overcomplete Dictionaries," IEEE Signal Processing Letters, Vol. 9 Issue 5, Pages: 145 -147, May 2002
  70. S. F. Cotter and B. D. Rao, "Sparse Channel Estimation Via Matching Pursuit with Application to Equalization," IEEE Transactions on Communications, Vol. 50, Issue 3, Pages: 374 - 377, March 2002
  71. 2001

  72. S. F. Cotter, K. K-Delgado and B. D. Rao, "Backward Sequential Elimination for Sparse Vector Subset Selection," Elsevier Science Signal Processing 81, Pages: 1849-1864, July 2001
  73. S. F. Cotter and B. D. Rao, "Application of Tree Based Searches to Matching Pursuit," IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, Pages: 3933-3936, May 2001
  74. 2000

  75. S. F. Cotter and B. D. Rao, "The Adaptive Matching Pursuit Algorithm for Estimation and Equalization of Sparse Time-Varying Channels," IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, California, Pages: 1772-1776, November 2000
  76. B. D. Rao, "Algorithms for Computing Sparse Solutions to Linear Inverse Problems," International Conference on Communications, Control and Signal Processing in the Next Millennium, Bangalore, India, Pages: 367-371, July 2000
  77. K. K-Delgado and B. D. Rao, "FOCUSS-Based Dictionary Learning Algorithms," Proceedings of the SPIE Vol. 4119: Wavelet Applications in Signal and Image Processing VIII, San Diego, July 2000
  78. K. Engan, B. D. Rao, and K. K-Delgado, "Regularized FOCUSS for Subset Selection In Noise," Nordic Signal Processing Symposium, Linkoping, Sweden, Pages: 247-50, June 2000
  79. S. F. Cotter, and B. D. Rao, "Matching Pursuit Based Decision-Feedback Equalizers," IEEE International Conference on Acoustics, Speech and Signal Processing, Istanbul, Turkey, Vol. 5, Pages: 2713-16, June 2000
  80. 1999

  81. K. K-Delgado, B. D. Rao, and K. Engan, "Novel Algorithms for Learning Overcomplete Dictionaries," IEEE Asilomar Conference on Signals, Systems and Computers, Vol. 2, Page: 971-5, October 1999
  82. S. F. Cotter, J. Adler, B. D. Rao, K. K-Delgado, "Forward Sequential Algorithms for Best Basis Selection," Proceedings Vision, Image, and Signal Processing, Pages: 235-244, October 1999
  83. K. Engan, B. D. Rao, and K. K-Delgado, "Frame Design Using FOCUSS With Method of Optimal Directions (MOD)," Norwegian Signal Processing Symposium, Norway, Pages: 31-33, September 1999
  84. K. K-Delgado, B. D. Rao, K. Engan, T.W. Lee and T. Sejnowski, "Convex/Schur-Convex (CSC) Log-Priors and Sparse Coding," Sixth Joint Symposium on Neural Computation, Pasadena, CA, May 1999
  85. K. K-Delgado and B. D. Rao, "Sparse Basis Selection, ICA, and Majorization: Towards a Unified Perspective," IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, AZ, Vol. 2, Pages: 1081 -1084, March 1999
  86. P. Campolucci, A. Uncini, F. Piazza, and B. D. Rao, "On-Line Learning Algorithms for Locally Recurrent Neural Networks," IEEE Transactions on Neural Networks, Vol. 10, Pages: 253-271, March 1999
  87. B. D. Rao and K. K-Delgado, "An Affine Scaling Methodology for Best Basis Selection," IEEE Transactions On Signal Processing, Vol. 47, Pages: 187-200, January 1999
  88. 1998

  89. B. D. Rao and K. K-Delgado, "Basis Selection in the Presence of Noise," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Vol. 1, Pages: 752-756, November 1998
  90. K. K-Delgado and B. D. Rao, "Application of Concave/Schur-Concave Functions to the Learning of Overcomplete Dictionaries and Sparse Representations," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Vol. 1, Pages: 546-550, November 1998
  91. B. D. Rao, K. K-Delgado, and S. Dharanipragada, "Improving Spectral Resolution Using Basis Selection," Proceedings of the Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Pages: 336-339, September 1998
  92. B. D. Rao and K. K-Delgado, "Sparse Solutions to Linear Inverse Problems with Multiple Measurement Vectors," Eighth IEEE Digital Signal Processing Workshop, August 1998
  93. K. K-Delgado and B. D. Rao, "Gradient Factorization-Based Algorithm for Best-Basis Selection," Eighth IEEE Digital Signal Processing Workshop, August 1998
  94. B. D. Rao, "Signal Processing with the Sparseness Constraint," IEEE Acoustics, Speech and Signal Processing, Seattle, Washington, Vol. 1, Pages: 369 - 372, May 1998
  95. K. K-Delgado and B. D. Rao, "Measures and Algorithms for Basis Selection," IEEE Acoustics, Speech and Signal Processing, Seattle, Washington, Vol. 3, Pages: 1881-1884, May 1998
  96. M. N. Murthi, K. K-Delgado and B. D. Rao, "A New Algorithm and Entropy-like Measures for Sparse Coding," Institute for Neural Computation, Vol. 8, Pages: 85-92, May 1998
  97. 1997

  98. B. D. Rao and K. K-Delgado, "Deriving Algorithms for Computing Sparse Solutions to Linear Inverse Problems," IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Vol. 1, Pages: 955-959, November 1997
  99. S. F. Cotter, M. N. Murthi and B. D. Rao, "Fast Basis Selection Methods," IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Vol. 2, Pages: 1474-1478, November 1997
  100. I. F. Gorodnitsky and B. D. Rao, "Sparse Signal Reconstruction from Limited Data Using FOCUSS: A Re-Weighted Norm Minimization Algorithm," IEEE Transactions on Signal Processing, Vol. 45, Issue. 3, Pages: 600 - 616, March 1997
  101. 1996

  102. B. D. Rao, "Analysis and Extensions of the FOCUSS Algorithm," IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Vol. 2, Pages: 1218-1223, November 1996
  103. J. Adler, B. D. Rao, and K. K-Delgado, "Comparison of Basis Selection Methods," IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Vol. 1, Pages: 252-257, November 1996
  104. R. Parisi, E. D. DiClaudio, G. Orlandi and B. D. Rao, "A Generalized Learning Paradigm Exploiting the Structure of Feedforward Neural Networks," IEEE Transactions on Neural Networks, Vol. 7, No. 6, Pages: 1450-1460, November 1996
  105. B. D. Rao and I. F. Gorodnitsky, "Affine Scaling Transformation Based Methods for Computing Low Complexity Sparse Solutions," IEEE International Conference on Acoustics, Speech and Signal Processing, Atlanta, GA, Vol. 3, Pages: 1783-1786, May 1996
  106. 1995

  107. B. D. Rao, "Novel Algorithms for Finding Localized Energy Solutions with Application to Magnetoencephalography," NSF Workshop on Signal Processing for Smart Sensor Arrays, Ballston, Virginia, Pages: 46-48, April 1995
  108. I. F. Gorodnitsky, J. George and B. D. Rao, "Neuromagnetic Source Imaging with FOCUSS: A Recursive Weighted Minimum Norm Algorithm," Electrocephalography and Clinical Neurophysiology 95, Pages: 231-251, January 1995
  109. 1994

  110. I. F. Gorodnitsky and B. D. Rao, "Analysis of Error Produced by Truncated SVD and Tikhonov Regularization Methods," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Vol. 1, Pages: 25 - 29, October 1994
  111. I. F. Gorodnitsky and B. D. Rao, "Truncated Total Least Squares Algorithms for Underdetermined Problems," Seventh SP Workshop on Statistical Signal and Array Processing, Quebec City, Quebec, Canada, Pages: 19-22, June 1994
  112. 1993

  113. I .F. Gorodnitsky and B. D. Rao, "Convergence Analysis of a Class of Adaptive Weighted Norm Extrapolation Algorithm," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Vol. 1, Pages: 339 - 343, November 1993
  114. B. D. Rao and I. F. Gorodnitsky, "A Novel Recurrent Network for Signal Processing," IEEE Workshop on Neural Networks for Signal Processing, Maritime Institute of Technology and Graduat, Linthicum Heights, Maryland, Pages: 108 -117, September 1993
  115. I. F. Gorodnitsky and B. D. Rao, "A Recursive Weighted Minimum Norm Algorithm: Analysis and Applications," Proc. of the International Conference on Acoustics, Speech and Signal Processing, Minnesota, Vol. 3, Pages: 456-459, May 1993
  116. 1992

  117. I. F. Gorodnitsky and B. D. Rao, "A New Iterative Weighted Norm Minimization Algorithm and its Applications," Sixth SP Workshop on Statistical Signal and Array Processing, Victoria, B.C. Canada, Pages: 412-415, October 1992
  118. I. F. Gorodnitsky, B. D. Rao and J. George, "Source Localization in Magnetoencephalagraphy using an Iterative Weighted Minimum Norm Algorithm," IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Pages: 167-171, October 1992
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