Bhaskar D. Rao

ORCID

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 101

Top Venues

ICASSP

IEEE Trans. Signal Process.

CoRR

ACSSC

Publications

Govind R. Gopal, Bhaskar D. Rao, Gabriel Porto Villardi
Load Balancing in Small-Cell Access Point Placement. VTC2023-Spring (2023)
Bhaskar D. Rao, K. Raju, G. Ramesh Babu, Chandra Sekhar Pittala
An improved GABOR wavelet transform and rough k-means clustering algorithm for MRI BRAIN tumor image segmentation. Multim. Tools Appl. 82 (18) (2023)
Rohan R. Pote, Bhaskar D. Rao
Light-Weight Sequential SBL Algorithm: An Alternative to OMP. ICASSP (2023)
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation. CoRR (2023)
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
A DNN Based Normalized Time-Frequency Weighted Criterion for Robust Wideband DoA Estimation. ICASSP (2023)
Rohan R. Pote, Bhaskar D. Rao
Maximum Likelihood-Based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL With Grid Refinement. IEEE Trans. Signal Process. 71 (2023)
Aditya Sant, Bhaskar D. Rao
Regularized Neural Detection for Millimeter Wave Massive Mimo Communication Systems with One-Bit Adcs. ICASSP (2023)
Govind R. Gopal, Elina Nayebi, Gabriel Porto Villardi, Bhaskar D. Rao
Modified Vector Quantization for Small-Cell Access Point Placement With Inter-Cell Interference. IEEE Trans. Wirel. Commun. 21 (8) (2022)
Rohan R. Pote, Bhaskar D. Rao
Maximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement. CoRR (2022)
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. NeurIPS (2022)
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. CoRR (2022)
Rohan R. Pote, Bhaskar D. Rao
Maximum Likelihood Structured Covariance Matrix Estimation and connections to SBL: A Path to Gridless DoA Estimation. IEEECONF (2022)
Ruixian Liu, Michael J. Bianco, Peter Gerstoft, Bhaskar D. Rao
Data-Driven Spatially Dependent PDE Identification. ICASSP (2022)
Maher Al-Shoukairi, Bhaskar D. Rao
Semi-Blind Channel Estimation in MIMO Systems With Discrete Priors on Data Symbols. IEEE Signal Process. Lett. 29 (2022)
Aditya Sant, Markus Leinonen, Bhaskar D. Rao
Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning. IEEE Trans. Signal Process. 70 (2022)
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. CoRR (2021)
Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
Proportionate Adaptive Filtering Algorithms Derived Using an Iterative Reweighting Framework. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Govind R. Gopal, Gabriel Porto Villardi, Bhaskar D. Rao
Is Vector Quantization Good Enough for Access Point Placement? ACSCC (2021)
Rohan R. Pote, Bhaskar D. Rao
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem. ICASSP (2021)
Govind R. Gopal, Bhaskar D. Rao, Gabriel Porto Villardi
Access Point Placement for Hybrid UAV-Terrestrial Small-Cell Networks. IEEE Open J. Commun. Soc. 2 (2021)
Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. NeurIPS (2021)
Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. CoRR (2021)
Aditya Sant, Markus Leinonen, Bhaskar D. Rao
General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery. ICASSP (2021)
Kumar Pratik, Bhaskar D. Rao, Max Welling
RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection. IEEE Trans. Signal Process. 69 (2021)
Ching Hua Lee, Igor Fedorov, Bhaskar D. Rao, Harinath Garudadri
SSGD: Sparsity-Promoting Stochastic Gradient Descent Algorithm for Unbiased Dnn Pruning. ICASSP (2020)
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids. EUSIPCO (2020)
Bhaskar D. Rao, Zheng-Hua Tan
Highlights From the Machine Learning for Signal Processing Technical Committee [In the Spotlight]. IEEE Signal Process. Mag. 37 (6) (2020)
Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
A Sparse Conjugate Gradient Adaptive Filter. IEEE Signal Process. Lett. 27 (2020)
Aditya Sant, Bhaskar D. Rao
DOA Estimation in Systems with Nonlinearities for MMWAVE Communications. ICASSP (2020)
Rohan R. Pote, Bhaskar D. Rao
Robustness of Sparse Bayesian Learning in Correlated Environments. ICASSP (2020)
Govind R. Gopal, Elina Nayebi, Gabriel Porto Villardi, Bhaskar D. Rao
Inter-Cell Interference and Load Balancing Aware Access Point Placement in Small-Cell Networks. CoRR (2020)
Yonghee Han, Bhaskar D. Rao, Jungwoo Lee
Massive Uncoordinated Access With Massive MIMO: A Dictionary Learning Approach. IEEE Trans. Wirel. Commun. 19 (2) (2020)
Ching Hua Lee, Kuan-Lin Chen, Fredric J. Harris, Bhaskar D. Rao, Harinath Garudadri
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks. INTERSPEECH (2019)
Maher Al-Shoukairi, Bhaskar D. Rao
Sparse Signal Recovery Using MPDR Estimation. ICASSP (2019)
Jing Liu, Bhaskar D. Rao
Sparse Bayesian Learning for Robust PCA: Algorithms and Analyses. IEEE Trans. Signal Process. 67 (22) (2019)
Louis Pisha, Harinath Garudadri, Julian Warchall, Tamara Zubatiy, Sean Hamilton, Ching Hua Lee, Ganz Chockalingam, Patrick P. Mercier, Rajesh K. Gupta, Bhaskar D. Rao
A Wearable, Extensible, Open-Source Platform for Hearing Healthcare Research. IEEE Access 7 (2019)
Govind R. Gopal, Bhaskar D. Rao
Throughput and Delay Driven Access Point Placement. ACSSC (2019)
Rohan R. Pote, Bhaskar D. Rao
Reduced Dimension Beamspace Design Incorporating Nested Array For Mmwave Channel Estimation. ACSSC (2019)
David K. W. Ho, Bhaskar D. Rao
Antithetic Dithered 1-Bit Massive MIMO Architecture: Efficient Channel Estimation via Parameter Expansion and PML. IEEE Trans. Signal Process. 67 (9) (2019)
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. ACSSC (2019)
Jing Liu, Bhaskar D. Rao
Regularization. IEEE Trans. Signal Process. 67 (2) (2019)
Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
Proportionate Adaptive Filters Based on Minimizing Diversity Measures for Promoting Sparsity. ACSSC (2019)
Alican Nalci, Bhaskar D. Rao, Thomas T. Liu
Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI. NeuroImage 184 (2019)
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm. IEEE Trans. Signal Process. 66 (2) (2018)
Elina Nayebi, Bhaskar D. Rao
Semi-Blind Channel Estimation in Massive Mimo Systems with Different Priors on Data Symbols. ICASSP (2018)
Louis Pisha, Sean Hamilton, Dhiman Sengupta, Ching Hua Lee, Krishna Chaithanya Vastare, Tamara Zubatiy, Sergio Luna, Cagri Yalcin, Alex Grant, Rajesh Gupta, Ganz Chockalingam, Bhaskar D. Rao, Harinath Garudadri
A Wearable Platform for Research in Augmented Hearing. ACSSC (2018)
Sami Alzeer, Sulaiman Almatrudi, Hatim A. Bukhari, Yonghee Han, Yacong Ding, Bhaskar D. Rao
Millimeter Wave Channel Estimation using Data-Aided DoA Estimation. ACSSC (2018)
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. Signal Process. 146 (2018)
Yacong Ding, Sung-En Chiu, Bhaskar D. Rao
Bayesian Channel Estimation Algorithms for Massive MIMO Systems With Hybrid Analog-Digital Processing and Low-Resolution ADCs. IEEE J. Sel. Top. Signal Process. 12 (3) (2018)
Yacong Ding, Bhaskar D. Rao
Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems. IEEE Trans. Wirel. Commun. 17 (8) (2018)
Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
Bone-Conduction Sensor Assisted Noise Estimation for Improved Speech Enhancement. INTERSPEECH (2018)
Thomas Lundgaard Hansen, Bernard Henri Fleury, Bhaskar D. Rao
Superfast Line Spectral Estimation. IEEE Trans. Signal Process. 66 (10) (2018)
Elina Nayebi, Bhaskar D. Rao
Access Point Location Design in Cell-Free Massive MIMO Systems. ACSSC (2018)
Seyyed Hamed Fouladi, Sung-En Chiu, Bhaskar D. Rao, Ilangko Balasingham
Recovery of Independent Sparse Sources From Linear Mixtures Using Sparse Bayesian Learning. IEEE Trans. Signal Process. 66 (24) (2018)
Igor Fedorov, Bhaskar D. Rao
Re-Weighted Learning for Sparsifying Deep Neural Networks. CoRR (2018)
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, Thomas T. Liu, Bhaskar D. Rao
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. IEEE Trans. Signal Process. 66 (12) (2018)
Jing Liu, Pamela C. Cosman, Bhaskar D. Rao
Regularization. IEEE Trans. Signal Process. 66 (3) (2018)
Tharun Adithya Srikrishnan, Bhaskar D. Rao
Addressing the Noise Variance Problem in Sparse Bayesian Learning. ACSSC (2018)
Giorgio Quer, Irene Pappalardo, Bhaskar D. Rao, Michele Zorzi
Proactive Caching Strategies in Heterogeneous Networks With Device-to-Device Communications. IEEE Trans. Wirel. Commun. 17 (8) (2018)
Tharun Adithya Srikrishnan, Bhaskar D. Rao, Ritwik Giri, Tao Zhang
Improved Noise Characterization for Relative Impulse Response Estimation. ICASSP (2018)
Alireza Masnadi-Shirazi, Bhaskar D. Rao
A Covariance-Based Superpositional CPHD Filter for Multisource DOA Tracking. IEEE Trans. Signal Process. 66 (2) (2018)
Elina Nayebi, Bhaskar D. Rao
Semi-blind Channel Estimation for Multiuser Massive MIMO Systems. IEEE Trans. Signal Process. 66 (2) (2018)
Igor Fedorov, Bhaskar D. Rao
Multimodal Sparse Bayesian Dictionary Learning. CoRR (2018)
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm. CoRR (2017)
Jing Liu, Pamela C. Cosman, Bhaskar D. Rao
Sparsity regularized Principal Component Pursuit. ICASSP (2017)
Ritwik Giri, Bhaskar D. Rao
Multivariate Scale mixtures for joint sparse regularization in multi-task learning. ICASSP (2017)
Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
Sparsity promoting LMS for adaptive feedback cancellation. EUSIPCO (2017)
Elina Nayebi, Alexei E. Ashikhmin, Thomas L. Marzetta, Bhaskar D. Rao
Performance of Cell-Free Massive MIMO Systems with MMSE and LSFD Receivers. CoRR (2017)
Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen
Multimodal sparse Bayesian dictionary learning applied to multimodal data classification. ICASSP (2017)
Elina Nayebi, Alexei E. Ashikhmin, Thomas L. Marzetta, Hong Yang, Bhaskar D. Rao
Precoding and Power Optimization in Cell-Free Massive MIMO Systems. IEEE Trans. Wirel. Commun. 16 (7) (2017)
Harinath Garudadri, Arthur Boothroyd, Ching Hua Lee, Swaroop Gadiyaram, Justyn Bell, Dhiman Sengupta, Sean Hamilton, Krishna Chaithanya Vastare, Rajesh K. Gupta, Bhaskar D. Rao
A realtime, open-source speech-processing platform for research in hearing loss compensation. ACSSC (2017)
Alican Nalci, Bhaskar D. Rao, Thomas T. Liu
Global signal regression acts as a temporal downweighting process in resting-state fMRI. NeuroImage 152 (2017)
Igor Fedorov, Sebastian Obrzut, Bongyong Song, Bhaskar D. Rao
Spect image reconstruction under imaging time constraints. ACSSC (2017)
Xiangping Bryce Zhai, Chee-Wei Tan, Yichao Huang, Bhaskar D. Rao
Transmit Beamforming and Power Control for Optimizing the Outage Probability Fairness in MISO Networks. IEEE Trans. Commun. 65 (2) (2017)
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
Relevance Subject Machine: A Novel Person Re-identification Framework. CoRR (2017)
Ritwik Giri, Bhaskar D. Rao, Harinath Garudadri
Reweighted Algorithms for Independent Vector Analysis. IEEE Signal Process. Lett. 24 (4) (2017)
Maher Al-Shoukairi, Bhaskar D. Rao
A GAMP based algorithm with hierarchical priors for recovering non-negative sparse signals. ACSSC (2017)
Yacong Ding, Sung-En Chiu, Bhaskar D. Rao
Sparse recovery with quantized multiple measurement vectors. ACSSC (2017)
Thomas Lundgaard Hansen, Bernard Henri Fleury, Bhaskar D. Rao
Superfast Line Spectral Estimation. CoRR (2017)
Elina Nayebi, Alexei E. Ashikhmin, Thomas L. Marzetta, Bhaskar D. Rao
Performance of cell-free massive MIMO systems with MMSE and LSFD receivers. ACSSC (2016)
Ritwik Giri, Bhaskar D. Rao, Fred Mustiere, Tao Zhang
Dynamic relative impulse response estimation using structured sparse Bayesian learning. ICASSP (2016)
Ritwik Giri, Bhaskar D. Rao
Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures. IEEE Trans. Signal Process. 64 (13) (2016)
Irene Pappalardo, Giorgio Quer, Bhaskar D. Rao, Michele Zorzi
Caching strategies in heterogeneous networks with D2D, small BS and macro BS communications. ICC (2016)
Yacong Ding, Bhaskar D. Rao
Dictionary Learning Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems. CoRR (2016)
PhuongBang C. Nguyen, Anh Hoang Nguyen, Bhaskar D. Rao
Delay Control for Temporally Fair Scheduling Policies via Opportunistic Mixing. IEEE Trans. Signal Process. 64 (19) (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. ICIP (2016)
Nasim Radmanesh, Bhaskar D. Rao
Frequency-based customization of multizone sound system design. ICASSP (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. CoRR (2016)
Alican Nalci, Igor Fedorov, Bhaskar D. Rao
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. CoRR (2016)
Nasim Radmanesh, Ian S. Burnett, Bhaskar D. Rao
A Lasso-LS Optimization with a Frequency Variable Dictionary in a Multizone Sound System. IEEE ACM Trans. Audio Speech Lang. Process. 24 (3) (2016)
Ranjitha Prasad, Chandra R. Murthy, Bhaskar D. Rao
Joint Channel Estimation and Data Detection in MIMO-OFDM Systems: A Sparse Bayesian Learning Approach. IEEE Trans. Signal Process. 63 (20) (2015)
Anh H. Nguyen, Bhaskar D. Rao
CDF Scheduling Methods for Finite Rate Multiuser Systems With Limited Feedback. IEEE Trans. Wirel. Commun. 14 (6) (2015)
Yacong Ding, Bhaskar D. Rao
Joint dictionary learning and recovery algorithms in a jointly sparse framework. ACSSC (2015)
Yacong Ding, Bhaskar D. Rao
Compressed Downlink Channel Estimation Based on Dictionary Learning in FDD Massive MIMO Systems. GLOBECOM (2015)
Yacong Ding, Bhaskar D. Rao
Channel estimation using joint dictionary learning in FDD massive MIMO systems. GlobalSIP (2015)
PhuongBang C. Nguyen, Bhaskar D. Rao
Delay control for CDF scheduling with deadlines. ICASSP (2015)
Ritwik Giri, Bhaskar D. Rao
Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures. CoRR (2015)
PhuongBang C. Nguyen, Bhaskar D. Rao
Fair Scheduling Policies Exploiting Multiuser Diversity in Cellular Systems With Device-to-Device Communications. IEEE Trans. Wirel. Commun. 14 (9) (2015)
Ritwik Giri, Bhaskar D. Rao
Hierarchical Bayesian formulation of Sparse Signal Recovery algorithms using scale mixture priors. ACSSC (2015)
Jun-Pyo Hong, Wan Choi, Bhaskar D. Rao
Sparsity Controlled Random Multiple Access With Compressed Sensing. IEEE Trans. Wirel. Commun. 14 (2) (2015)

Bhaskar D. Rao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Bhaskar D. Rao