Bhaskar D. Rao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology	2024	Kuan-Lin Chen Bhaskar D. Rao
+ PDF Chat	Novel Active Sensing and Inference for mmWave Beam Alignment Using Single RF Chain Systems	2024	Rohan R. Pote Bhaskar D. Rao
+ PDF Chat	Vector Quantization Methods for Access Point Placement in Cell-Free Massive MIMO Systems	2024	Govind R. Gopal Bhaskar D. Rao
+ PDF Chat	Maximum Likelihood-Based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL With Grid Refinement	2023	Rohan R. Pote Bhaskar D. Rao
+	Regularized Neural Detection for One-Bit Massive MIMO Communication Systems	2023	Aditya Sant Bhaskar D. Rao
+	Modified Vector Quantization for Small-Cell Access Point Placement With Inter-Cell Interference	2022	Govind R. Gopal Elina Nayebi Gabriel Porto Villardi Bhaskar D. Rao
+	Maximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement	2022	Rohan R. Pote Bhaskar D. Rao
+	Vector Quantization Methods for Access Point Placement in Cell-Free Massive MIMO Systems	2022	Govind R. Gopal Bhaskar D. Rao
+ PDF Chat	A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem	2021	Rohan R. Pote Bhaskar D. Rao
+ PDF Chat	General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery	2021	Aditya Sant Markus Leinonen Bhaskar D. Rao
+	ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees	2021	Kuan‐Lin Chen Ching Hua Lee Harinath Garudadri Bhaskar D. Rao
+	A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem	2021	Rohan R. Pote Bhaskar D. Rao
+	General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery	2021	Aditya Sant Markus Leinonen Bhaskar D. Rao
+ PDF Chat	RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection	2020	Kumar Pratik Bhaskar D. Rao Max Welling
+	Inter-Cell Interference and Load Balancing Aware Access Point Placement in Small-Cell Networks.	2020	Govind R. Gopal Elina Nayebi Gabriel Porto Villardi Bhaskar D. Rao
+	Modified Vector Quantization for Small-Cell Access Point Placement with Inter-Cell Interference	2020	Govind R. Gopal Elina Nayebi Gabriel Porto Villardi Bhaskar D. Rao
+	Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems	2018	Yacong Ding Bhaskar D. Rao
+	Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem	2018	Alican Nalci Igor Fedorov Maher Al-Shoukairi Thomas T. Liu Bhaskar D. Rao
+ PDF Chat	Superfast Line Spectral Estimation	2018	Thomas Hansen Bernard Henri Fleury Bhaskar D. Rao
+ PDF Chat	A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem	2018	Igor Fedorov Alican Nalci Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen Harinath Garudadri
+	Re-Weighted Learning for Sparsifying Deep Neural Networks	2018	Igor Fedorov Bhaskar D. Rao
+	Multimodal Sparse Bayesian Dictionary Learning	2018	Igor Fedorov Bhaskar D. Rao
+	Robust Linear Regression via $\ell_0$ Regularization	2017	Jing Liu Pamela C. Cosman Bhaskar D. Rao
+	A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm	2017	Maher Al-Shoukairi Philip Schniter Bhaskar D. Rao
+	Performance of Cell-Free Massive MIMO Systems with MMSE and LSFD Receivers	2017	Elina Nayebi Alexei Ashikhmin Thomas L. Marzetta Bhaskar D. Rao
+	Relevance Subject Machine: A Novel Person Re-identification Framework	2017	Igor Fedorov Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen
+ PDF Chat	Compressed Sensing for Wireless Communications: Useful Tips and Tricks	2017	Jun Won Choi Byonghyo Shim Yacong Ding Bhaskar D. Rao Dong In Kim
+	Performance of Cell-Free Massive MIMO Systems with MMSE and LSFD Receivers	2017	Elina Nayebi Alexei Ashikhmin Thomas L. Marzetta Bhaskar D. Rao
+ PDF Chat	Performance of cell-free massive MIMO systems with MMSE and LSFD receivers	2016	Elina Nayebi Alexei Ashikhmin Thomas L. Marzetta Bhaskar D. Rao
+ PDF Chat	Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition	2016	Igor Fedorov Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen
+	Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition	2016	Igor Fedorov Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen
+	A Unified Bayesian Framework for Sparse Non-negative Matrix Factorization	2016	Igor Fedorov Alican Nalci Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen Harinath Garudadri
+	A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem	2016	Igor Fedorov Alican Nalci Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen Harinath Garudadri
+	Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures	2016	Ritwik Giri Bhaskar D. Rao
+	Dictionary Learning Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems	2016	Yacong Ding Bhaskar D. Rao
+	A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem	2016	I. A. Fedorov Alican Nalci Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen Harinath Garudadri
+	Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem	2016	Alican Nalci I. A. Fedorov Maher Al-Shoukairi Thomas T. Liu Bhaskar D. Rao
+	Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition	2016	I. A. Fedorov Ritwik Giri Bhaskar D. Rao Truong Q. Nguyen
+	Compressed Sensing for Wireless Communications : Useful Tips and Tricks	2015	Jun Won Choi Byonghyo Shim Yacong Ding Bhaskar D. Rao Dong In Kim
+	Fair Scheduling Policies Exploiting Multiuser Diversity in Cellular Systems With Device-to-Device Communications	2015	PhuongBang Nguyen Bhaskar D. Rao
+	Fair Scheduling Policies Exploiting Multiuser Diversity in Cellular Systems with Device-to-Device Communications	2015	PhuongBang Nguyen Bhaskar D. Rao
+	Compressed Sensing for Wireless Communications : Useful Tips and Tricks	2015	Jun Won Choi Byonghyo Shim Yacong Ding Bhaskar D. Rao Dong In Kim
+ PDF Chat	Spatiotemporal Sparse Bayesian Learning With Applications to Compressed Sensing of Multichannel Physiological Signals	2014	Zhilin Zhang Tzyy‐Ping Jung Scott Makeig Zhouyue Pi Bhaskar D. Rao
+ PDF Chat	Compressed sensing for energy-efficient wireless telemonitoring: Challenges and opportunities	2013	Zhilin Zhang Bhaskar D. Rao Tzyy‐Ping Jung
+ PDF Chat	Multiuser Diversity in Interfering Broadcast Channels: Achievable Degrees of Freedom and User Scaling Law	2013	Jung Hoon Lee Wan Choi Bhaskar D. Rao
+ PDF Chat	Multicell Random Beamforming with CDF-Based Scheduling: Exact Rate and Scaling Laws	2013	Yichao Huang Bhaskar D. Rao
+ PDF Chat	Joint Beamforming and Power Control in Coordinated Multicell: Max-Min Duality, Effective Network and Large System Transition	2013	Yichao Huang Chee Wei Tan Bhaskar D. Rao
+ PDF Chat	Support Recovery of Sparse Signals in the Presence of Multiple Measurement Vectors	2013	Yuzhe Jin Bhaskar D. Rao
+	Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities	2013	Zhilin Zhang Bhaskar D. Rao Tzyy‐Ping Jung
+	Multicell Random Beamforming with CDF-based Scheduling: Exact Rate and Scaling Laws	2013	Yichao Huang Bhaskar D. Rao
+ PDF Chat	Performance Analysis of Heterogeneous Feedback Design in an OFDMA Downlink With Partial and Imperfect Feedback	2012	Yichao Huang Bhaskar D. Rao
+ PDF Chat	An Analytical Framework for Heterogeneous Partial Feedback Design in Heterogeneous Multicell OFDMA Networks	2012	Yichao Huang Bhaskar D. Rao
+ PDF Chat	Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning	2012	Zhilin Zhang Tzyy‐Ping Jung Scott Makeig Bhaskar D. Rao
+ PDF Chat	Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware	2012	Zhilin Zhang Tzyy‐Ping Jung Scott Makeig Bhaskar D. Rao
+ PDF Chat	Sparse signal recovery in the presence of intra-vector and inter-vector correlation	2012	Bhaskar D. Rao Zhilin Zhang Yuzhe Jin
+ PDF Chat	Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease	2012	Jing Wan Zhilin Zhang Jingwen Yan Taiyong Li Bhaskar D. Rao Shiaofen Fang Sungeun Kim Shannon L. Risacher Andrew J. Saykin Li Shen
+	Low Energy Wireless Body-Area Networks for Fetal ECG Telemonitoring via the Framework of Block Sparse Bayesian Learning	2012	Zhilin Zhang Tzyy‐Ping Jung Scott Makeig Bhaskar D. Rao
+	Sparse Signal Recovery in the Presence of Intra-Vector and Inter-Vector Correlation	2012	Bhaskar D. Rao Zhilin Zhang Yuzhe Jin
+ PDF Chat	Sum Rate Analysis of a Reduced Feedback OFDMA Downlink System Employing Joint Scheduling and Diversity	2011	Seong-Ho Hur Bhaskar D. Rao
+	MultiPass lasso algorithms for sparse signal recovery	2011	Yuzhe Jin Bhaskar D. Rao
+ PDF Chat	Iterative reweighted algorithms for sparse signal recovery with temporally correlated source vectors	2011	Zhilin Zhang Bhaskar D. Rao
+	Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity	2011	Zhilin Zhang Bhaskar D. Rao
+	On the optimal frequency selectivity to maximize multiuser diversity in an OFDMA scheduling system	2011	Seong-Ho Hur Bhaskar D. Rao Minjoong Rim J.R. Zeidler
+	Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors	2011	Zhilin Zhang Bhaskar D. Rao
+	Support Recovery of Sparse Signals in the Presence of Multiple Measurement Vectors	2011	Yuzhe Jin Bhaskar D. Rao
+	Support Recovery of Sparse Signals	2010	Yuzhe Jin Young-Han Kim Bhaskar D. Rao
+	Algorithms for robust linear regression by exploiting the connection to sparse signal recovery	2010	Yuzhe Jin Bhaskar D. Rao
+	Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities	2007	Jason Palmer Ken Kreutz-Delgado Bhaskar D. Rao Scott Makeig
+	Comparing the Effects of Different Weight Distributions on Finding Sparse Representations	2005	Bhaskar D. Rao David Wipf
+	Variational EM Algorithms for Non-Gaussian Latent Variable Models	2005	Jason Palmer Kenneth Kreutz-Delgado Bhaskar D. Rao David Wipf
+	Truncated Total Least Squares Regularization Underdetermined Problems	2005	I.F. Gorodnitsky Bhaskar D. Rao
+	Diversity measure minimization based method for computing sparse solutions to linear inverse problems with multiple measurement vectors	2004	Bhaskar D. Rao Kjersti Engan Shane F. Cotter
+	Affine scaling transformation based methods for computing low complexity sparse solutions	2002	Bhaskar D. Rao I.F. Gorodnitsky
+	Analysis of error produced by truncated SVD and Tikhonov regularization methods	2002	I.F. Gorodnitsky Bhaskar D. Rao
+	Deriving algorithms for computing sparse solutions to linear inverse problems	2002	Bhaskar D. Rao Kenneth Kreutz-Delgado
+	Statistical analysis of subspace-based estimation of reduced-rank linear regressions	2002	Tony Gustafsson Bhaskar D. Rao
+	An affine scaling methodology for best basis selection	1999	Bhaskar D. Rao Kenneth Kreutz-Delgado
+	Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm	1997	I.F. Gorodnitsky Bhaskar D. Rao
+	Scheduling parallel implementations of partitioned orthogonal transformations	1992	Prashanth Kuchibhotla Bhaskar D. Rao

Common Coauthors

Coauthor	Papers Together
Zhilin Zhang	12
Ritwik Giri	9
Truong Q. Nguyen	8
Igor Fedorov	7
Yuzhe Jin	7
Alican Nalci	6
Elina Nayebi	6
Tzyy‐Ping Jung	6
Rohan R. Pote	5
Yacong Ding	5
Yichao Huang	5
Scott Makeig	5
Govind R. Gopal	5
Harinath Garudadri	5
I.F. Gorodnitsky	4
Maher Al-Shoukairi	3
Kenneth Kreutz-Delgado	3
Dong In Kim	3
Jun Won Choi	3
Thomas L. Marzetta	3
Byonghyo Shim	3
Gabriel Porto Villardi	3
I. A. Fedorov	3
Alexei Ashikhmin	3
PhuongBang Nguyen	2
Thomas T. Liu	2
Aditya Sant	2
David Wipf	2
Jason Palmer	2
Igor Fedorov	2
Markus Leinonen	2
Seong-Ho Hur	2
J.R. Zeidler	1
Shane F. Cotter	1
Shiaofen Fang	1
Thomas Hansen	1
Tony Gustafsson	1
Shannon L. Risacher	1
Andrew J. Saykin	1
Kumar Pratik	1
Wan Choi	1
Minjoong Rim	1
Zhouyue Pi	1
Taiyong Li	1
Philip Schniter	1
Ching Hua Lee	1
Bernard Henri Fleury	1
Pamela C. Cosman	1
Kjersti Engan	1
Prashanth Kuchibhotla	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning	2011	Zhilin Zhang Bhaskar D. Rao	23
+ PDF Chat	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd	18
+	Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm	1997	I.F. Gorodnitsky Bhaskar D. Rao	13
+ PDF Chat	Extension of SBL Algorithms for the Recovery of Block Sparse Signals With Intra-Block Correlation	2013	Zhilin Zhang Bhaskar D. Rao	12
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	11
+	Compressed sensing	2006	David L. Donoho	9
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	9
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	8
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	8
+	Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures	2016	Ritwik Giri Bhaskar D. Rao	8
+	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples	2008	Deanna Needell Joel A. Tropp	7
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	7
+	Scale Mixtures of Normal Distributions	1974	David Andrews C. L. Mallows	7
+ PDF Chat	Robust Recovery of Signals From a Structured Union of Subspaces	2009	Yonina C. Eldar Moshe Mishali	7
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	7
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	7
+ PDF Chat	Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation	2010	Yonina C. Eldar Holger Rauhut	7
+	Normal/Independent Distributions and Their Applications in Robust Regression	1993	Kenneth Lange Janet S. Sinsheimer	6
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	6
+ PDF Chat	Model-Based Compressive Sensing	2010	Richard G. Baraniuk Volkan Cevher Marco F. Duarte Chinmay Hegde	6
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	5
+ PDF Chat	Random Beamforming with Heterogeneous Users and Selective Feedback: Individual Sum Rate and Individual Scaling Laws	2013	Yichao Huang Bhaskar D. Rao	5
+	Variational EM Algorithms for Non-Gaussian Latent Variable Models	2005	Jason Palmer Kenneth Kreutz-Delgado Bhaskar D. Rao David Wipf	5
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	5
+	Algorithms for robust linear regression by exploiting the connection to sparse signal recovery	2010	Yuzhe Jin Bhaskar D. Rao	5
+ PDF Chat	Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem	2012	Justin Ziniel Philip Schniter	5
+ PDF Chat	Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning	2012	Zhilin Zhang Tzyy‐Ping Jung Scott Makeig Bhaskar D. Rao	5
+ PDF Chat	Shannon-Theoretic Limits on Noisy Compressive Sampling	2010	Mehmet Akçakaya Vahid Tarokh	5
+ PDF Chat	Massive MIMO for next generation wireless systems	2014	Erik G. Larsson Ove Edfors Fredrik Tufvesson Thomas L. Marzetta	4
+	An affine scaling methodology for best basis selection	1999	Bhaskar D. Rao Kenneth Kreutz-Delgado	4
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	4
+ PDF Chat	Support union recovery in high-dimensional multivariate regression	2010	Guillaume Obozinski Martin J. Wainwright Michael I. Jordan	4
+ PDF Chat	Iterative reweighted algorithms for sparse signal recovery with temporally correlated source vectors	2011	Zhilin Zhang Bhaskar D. Rao	4
+ PDF Chat	Expectation-Maximization Gaussian-Mixture Approximate Message Passing	2013	Jeremy Vila Philip Schniter	4
+ PDF Chat	Distributed Compressive CSIT Estimation and Feedback for FDD Multi-User Massive MIMO Systems	2014	Xiongbin Rao Vincent K. N. Lau	4
+ PDF Chat	Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO	2015	Zhen Gao Linglong Dai Zhaocheng Wang Sheng Chen	4
+ PDF Chat	Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware	2012	Zhilin Zhang Tzyy‐Ping Jung Scott Makeig Bhaskar D. Rao	4
+ PDF Chat	Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays	2012	Fredrik Rusek Daniel Persson Buon Kiong Lau Erik G. Larsson Thomas L. Marzetta Fredrik Tufvesson	4
+	Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity	2011	Zhilin Zhang Bhaskar D. Rao	4
+ PDF Chat	Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery	2012	Tomer Peleg Yonina C. Eldar Michael Elad	4
+ PDF Chat	Block-Sparse Signals: Uncertainty Relations and Efficient Recovery	2010	Yonina C. Eldar Patrick Kuppinger Helmut Bölcskei	4
+ PDF Chat	Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease	2012	Jing Wan Zhilin Zhang Jingwen Yan Taiyong Li Bhaskar D. Rao Shiaofen Fang Sungeun Kim Shannon L. Risacher Andrew J. Saykin Li Shen	4
+ PDF Chat	Information-Theoretic Limits on Sparse Signal Recovery: Dense versus Sparse Measurement Matrices	2010	Wei Wang Martin J. Wainwright Kannan Ramchandran	3
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+ PDF Chat	Spatially Sparse Precoding in Millimeter Wave MIMO Systems	2014	Omar El Ayach Sridhar Rajagopal Shadi Abu‐Surra Zhouyue Pi Robert W. Heath	3
+	Spectrum-blind minimum-rate sampling and reconstruction of multiband signals	2002	Ping Feng Yoram Bresler	3
+ PDF Chat	Energy efficient telemonitoring of physiological signals via compressed sensing: A fast algorithm and power consumption evaluation	2014	Benyuan Liu Zhilin Zhang Gary Xu Hongqi Fan Qiang Fu	3
+ PDF Chat	Information Exchange Limits in Cooperative MIMO Networks	2011	Ali Tajer Xiaodong Wang	3
+	Analysis of Discrete Ill-Posed Problems by Means of the L-Curve	1992	Per Christian Hansen	3
+ PDF Chat	Kalman filtered Compressed Sensing	2008	Namrata Vaswani	3