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ORCIDBhaskar D. Rao
Bhaskar Rao 0001
Person information
- affiliation: University of California, San Diego, Electrical and Computer Engineering Department, La Jolla, CA, USA
- affiliation (PhD 1983): University of Southern California, Los Angeles, CA, USA
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2020 – today
- 2023
[j149]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: 802-815 (2023)- [i35]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 abs/2302.10147 (2023) - 2022
- [j148]Maher Al-Shoukairi, Bhaskar D. Rao:
Semi-Blind Channel Estimation in MIMO Systems With Discrete Priors on Data Symbols. IEEE Signal Process. Lett. 29: 51-54 (2022) - [j147]Aditya Sant, Markus Leinonen, Bhaskar D. Rao:
Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning. IEEE Trans. Signal Process. 70: 1056-1071 (2022) - [j146]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): 6387-6401 (2022) - [c223]Rohan R. Pote, Bhaskar D. Rao:
Maximum Likelihood Structured Covariance Matrix Estimation and connections to SBL: A Path to Gridless DoA Estimation. IEEECONF 2022: 970-974 - [c222]Ruixian Liu, Michael J. Bianco, Peter Gerstoft, Bhaskar D. Rao:
Data-Driven Spatially Dependent PDE Identification. ICASSP 2022: 3383-3387 - [c221]Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao:
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. NeurIPS 2022 - [i34]Rohan R. Pote, Bhaskar D. Rao:
Maximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement. CoRR abs/2210.03266 (2022) - [i33]Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao:
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. CoRR abs/2210.07236 (2022) - 2021
- [j145]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: 1826-1841 (2021) - [j144]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: 171-186 (2021) - [j143]Kumar Pratik, Bhaskar D. Rao, Max Welling:
RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection. IEEE Trans. Signal Process. 69: 459-473 (2021) - [c220]Govind R. Gopal, Gabriel Porto Villardi, Bhaskar D. Rao:
Is Vector Quantization Good Enough for Access Point Placement? ACSCC 2021: 1210-1214 - [c219]Rohan R. Pote, Bhaskar D. Rao:
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem. ICASSP 2021: 4525-4529 - [c218]Aditya Sant, Markus Leinonen, Bhaskar D. Rao:
General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery. ICASSP 2021: 5604-5608 - [c217]Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao:
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. NeurIPS 2021: 3413-3424 - [i32]Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao:
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. CoRR abs/2111.05496 (2021) - [i31]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. CoRR abs/2111.08952 (2021) - 2020
- [j142]Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A Sparse Conjugate Gradient Adaptive Filter. IEEE Signal Process. Lett. 27: 1000-1004 (2020) - [j141]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): 200-202 (2020) - [j140]Yonghee Han, Bhaskar D. Rao, Jungwoo Lee:
Massive Uncoordinated Access With Massive MIMO: A Dictionary Learning Approach. IEEE Trans. Wirel. Commun. 19(2): 1320-1332 (2020) - [c216]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: 121-125 - [c215]Aditya Sant, Bhaskar D. Rao:
DOA Estimation in Systems with Nonlinearities for MMWAVE Communications. ICASSP 2020: 4537-4541 - [c214]Ching Hua Lee, Igor Fedorov, Bhaskar D. Rao, Harinath Garudadri:
SSGD: Sparsity-Promoting Stochastic Gradient Descent Algorithm for Unbiased Dnn Pruning. ICASSP 2020: 5410-5414 - [c213]Rohan R. Pote, Bhaskar D. Rao:
Robustness of Sparse Bayesian Learning in Correlated Environments. ICASSP 2020: 9100-9104 - [i30]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 abs/2011.02591 (2020)
2010 – 2019
- 2019
- [j139]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: 162083-162101 (2019) - [j138]Alican Nalci, Bhaskar D. Rao, Thomas T. Liu:
Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI. NeuroImage 184: 1005-1031 (2019) - [j137]Jing Liu, Bhaskar D. Rao:
Robust PCA via ℓ0-ℓ1 Regularization. IEEE Trans. Signal Process. 67(2): 535-549 (2019) - [j136]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): 2291-2303 (2019) - [j135]Jing Liu, Bhaskar D. Rao:
Sparse Bayesian Learning for Robust PCA: Algorithms and Analyses. IEEE Trans. Signal Process. 67(22): 5837-5849 (2019) - [c212]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. ACSSC 2019: 749-753 - [c211]Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
Proportionate Adaptive Filters Based on Minimizing Diversity Measures for Promoting Sparsity. ACSSC 2019: 769-773 - [c210]Govind R. Gopal, Bhaskar D. Rao:
Throughput and Delay Driven Access Point Placement. ACSSC 2019: 1010-1014 - [c209]Rohan R. Pote, Bhaskar D. Rao:
Reduced Dimension Beamspace Design Incorporating Nested Array For Mmwave Channel Estimation. ACSSC 2019: 1212-1216 - [c208]Jing Liu, Yacong Ding, Bhaskar Rao:
Sparse Bayesian Learning for Robust PCA. ICASSP 2019: 4883-4887 - [c207]Maher Al-Shoukairi, Bhaskar D. Rao:
Sparse Signal Recovery Using MPDR Estimation. ICASSP 2019: 5047-5051 - [c206]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: 4245-4249 - 2018
- [j134]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): 499-513 (2018) - [j133]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: 79-91 (2018) - [j132]Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao:
A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm. IEEE Trans. Signal Process. 66(2): 294-308 (2018) - [j131]Alireza Masnadi-Shirazi, Bhaskar D. Rao:
A Covariance-Based Superpositional CPHD Filter for Multisource DOA Tracking. IEEE Trans. Signal Process. 66(2): 309-323 (2018) - [j130]Elina Nayebi, Bhaskar D. Rao:
Semi-blind Channel Estimation for Multiuser Massive MIMO Systems. IEEE Trans. Signal Process. 66(2): 540-553 (2018) - [j129]Jing Liu, Pamela C. Cosman, Bhaskar D. Rao:
Robust Linear Regression via ℓ0 Regularization. IEEE Trans. Signal Process. 66(3): 698-713 (2018) - [j128]Thomas Lundgaard Hansen, Bernard Henri Fleury, Bhaskar D. Rao:
Superfast Line Spectral Estimation. IEEE Trans. Signal Process. 66(10): 2511-2526 (2018) - [j127]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): 3124-3139 (2018) - [j126]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): 6332-6346 (2018) - [j125]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): 5270-5281 (2018) - [j124]Yacong Ding, Bhaskar D. Rao:
Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems. IEEE Trans. Wirel. Commun. 17(8): 5437-5451 (2018) - [c205]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: 223-227 - [c204]Elina Nayebi, Bhaskar D. Rao:
Access Point Location Design in Cell-Free Massive MIMO Systems. ACSSC 2018: 985-989 - [c203]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: 1567-1571 - [c202]Tharun Adithya Srikrishnan, Bhaskar D. Rao:
Addressing the Noise Variance Problem in Sparse Bayesian Learning. ACSSC 2018: 1974-1979 - [c201]Tharun Adithya Srikrishnan, Bhaskar D. Rao, Ritwik Giri, Tao Zhang:
Improved Noise Characterization for Relative Impulse Response Estimation. ICASSP 2018: 411-415 - [c200]Elina Nayebi, Bhaskar D. Rao:
Semi-Blind Channel Estimation in Massive Mimo Systems with Different Priors on Data Symbols. ICASSP 2018: 3879-3883 - [c199]Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
Bone-Conduction Sensor Assisted Noise Estimation for Improved Speech Enhancement. INTERSPEECH 2018: 1180-1184 - [i29]Igor Fedorov, Bhaskar D. Rao:
Re-Weighted Learning for Sparsifying Deep Neural Networks. CoRR abs/1802.01616 (2018) - [i28]Igor Fedorov, Bhaskar D. Rao:
Multimodal Sparse Bayesian Dictionary Learning. CoRR abs/1804.03740 (2018) - 2017
- [j123]Jun Won Choi, Byonghyo Shim, Yacong Ding, Bhaskar Rao, Dong In Kim:
Compressed Sensing for Wireless Communications: Useful Tips and Tricks. IEEE Commun. Surv. Tutorials 19(3): 1527-1550 (2017) - [j122]Petri Helin, Pekka Astola, Bhaskar Rao, Ioan Tabus:
Minimum Description Length Sparse Modeling and Region Merging for Lossless Plenoptic Image Compression. IEEE J. Sel. Top. Signal Process. 11(7): 1146-1161 (2017) - [j121]Alican Nalci, Bhaskar D. Rao, Thomas T. Liu:
Global signal regression acts as a temporal downweighting process in resting-state fMRI. NeuroImage 152: 602-618 (2017) - [j120]Ritwik Giri, Bhaskar D. Rao, Harinath Garudadri:
Reweighted Algorithms for Independent Vector Analysis. IEEE Signal Process. Lett. 24(4): 362-366 (2017) - [j119]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): 839-850 (2017) - [j118]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): 4445-4459 (2017) - [c198]Maher Al-Shoukairi, Bhaskar D. Rao:
A GAMP based algorithm with hierarchical priors for recovering non-negative sparse signals. ACSSC 2017: 435-439 - [c197]Yacong Ding, Sung-En Chiu, Bhaskar D. Rao:
Sparse recovery with quantized multiple measurement vectors. ACSSC 2017: 845-849 - [c196]Igor Fedorov, Sebastian Obrzut, Bongyong Song, Bhaskar D. Rao:
Spect image reconstruction under imaging time constraints. ACSSC 2017: 1590-1594 - [c195]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: 1900-1904 - [c194]Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
Sparsity promoting LMS for adaptive feedback cancellation. EUSIPCO 2017: 226-230 - [c193]Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen:
Multimodal sparse Bayesian dictionary learning applied to multimodal data classification. ICASSP 2017: 2237-2241 - [c192]Ritwik Giri, Bhaskar D. Rao:
Multivariate Scale mixtures for joint sparse regularization in multi-task learning. ICASSP 2017: 2776-2780 - [c191]Jing Liu, Pamela C. Cosman, Bhaskar D. Rao:
Sparsity regularized Principal Component Pursuit. ICASSP 2017: 4431-4435 - [i27]Elina Nayebi, Alexei E. Ashikhmin, Thomas L. Marzetta, Bhaskar D. Rao:
Performance of Cell-Free Massive MIMO Systems with MMSE and LSFD Receivers. CoRR abs/1702.03231 (2017) - [i26]Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao:
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm. CoRR abs/1703.03044 (2017) - [i25]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Relevance Subject Machine: A Novel Person Re-identification Framework. CoRR abs/1703.10645 (2017) - [i24]Thomas Lundgaard Hansen, Bernard Henri Fleury, Bhaskar D. Rao:
Superfast Line Spectral Estimation. CoRR abs/1705.06073 (2017) - 2016
- [j117]Ritwik Giri, Bhaskar Rao:
Learning Distributional Parameters for Adaptive Bayesian Sparse Signal Recovery. IEEE Comput. Intell. Mag. 11(4): 14-23 (2016) - [j116]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): 583-593 (2016) - [j115]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): 3418-3428 (2016) - [j114]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): 5011-5024 (2016) - [c190]Petri Helin, Pekka Astola, Bhaskar Rao, Ioan Tabus:
Sparse modelling and predictive coding of subaperture images for lossless plenoptic image compression. 3DTV-Conference 2016: 1-4 - [c189]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: 203-207 - [c188]Nasim Radmanesh, Bhaskar D. Rao:
Frequency-based customization of multizone sound system design. ICASSP 2016: 375-379 - [c187]Ritwik Giri, Bhaskar D. Rao, Fred Mustiere, Tao Zhang:
Dynamic relative impulse response estimation using structured sparse Bayesian learning. ICASSP 2016: 514-518 - [c186]Irene Pappalardo, Giorgio Quer, Bhaskar D. Rao, Michele Zorzi:
Caching strategies in heterogeneous networks with D2D, small BS and macro BS communications. ICC 2016: 1-6 - [c185]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: 3872-3876 - [c184]Sung-En Chiu, Bhaskar Rao:
Correlation learning on joint support recovery for more sources than measurements. SAM 2016: 1-5 - [i23]Alican Nalci, Igor Fedorov, Bhaskar D. Rao:
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. CoRR abs/1601.06207 (2016) - [i22]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 abs/1605.02057 (2016) - [i21]Yacong Ding, Bhaskar D. Rao:
Dictionary Learning Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems. CoRR abs/1612.06553 (2016) - 2015
- [j113]PhuongBang C. Nguyen, Bhaskar Rao:
Optimal Fair Opportunistic Scheduling For Wireless Systems Via Classification Framework. IEEE Trans. Cogn. Commun. Netw. 1(2): 185-199 (2015) - [j112]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): 5369-5382 (2015) - [j111]Jun-Pyo Hong, Wan Choi, Bhaskar D. Rao:
Sparsity Controlled Random Multiple Access With Compressed Sensing. IEEE Trans. Wirel. Commun. 14(2): 998-1010 (2015) - [j110]Anh H. Nguyen, Bhaskar D. Rao:
CDF Scheduling Methods for Finite Rate Multiuser Systems With Limited Feedback. IEEE Trans. Wirel. Commun. 14(6): 3086-3096 (2015) - [j109]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): 4757-4771 (2015) - [c183]Ritwik Giri, Bhaskar D. Rao:
Hierarchical Bayesian formulation of Sparse Signal Recovery algorithms using scale mixture priors. ACSSC 2015: 67-71 - [c182]Yacong Ding, Bhaskar D. Rao:
Joint dictionary learning and recovery algorithms in a jointly sparse framework. ACSSC 2015: 1482-1486 - [c181]Yacong Ding, Bhaskar D. Rao:
Channel estimation using joint dictionary learning in FDD massive MIMO systems. GlobalSIP 2015: 185-189 - [c180]Yacong Ding, Bhaskar D. Rao:
Compressed Downlink Channel Estimation Based on Dictionary Learning in FDD Massive MIMO Systems. GLOBECOM 2015: 1-6 - [c179]Geethu Joseph, Chandra R. Murthy, Ranjitha Prasad, Bhaskar D. Rao:
Online Recovery of Temporally Correlated Sparse Signals Using Multiple Measurement Vectors. GLOBECOM 2015: 1-6 - [c178]PhuongBang C. Nguyen, Bhaskar D. Rao:
Delay control for CDF scheduling with deadlines. ICASSP 2015: 3103-3107 - [i20]PhuongBang C. Nguyen, Bhaskar Rao:
Fair Scheduling Policies Exploiting Multiuser Diversity in Cellular Systems with Device-to-Device Communications. CoRR abs/1503.08485 (2015) - [i19]Ritwik Giri, Bhaskar D. Rao:
Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures. CoRR abs/1507.05087 (2015) - [i18]Jun Won Choi, Byonghyo Shim, Yacong Ding, Bhaskar Rao, Dong In Kim:
Compressed Sensing for Wireless Communications : A Few Tips and Tricks. CoRR abs/1511.08746 (2015) - 2014
- [j108]Xiaofei Chen, Fred Harris, Elettra Venosa, Bhaskar D. Rao:
Non-maximally decimated filter bank-based single-carrier receiver: a pathway to next-generation wideband communication. EURASIP J. Adv. Signal Process. 2014: 62 (2014) - [j107]Aditya K. Jagannatham, Bhaskar D. Rao:
Cramer-Rao bound based mean-squared error and throughput analysis of superimposed pilots for semi-blind multiple-input multiple-output wireless channel estimation. Int. J. Commun. Syst. 27(10): 1393-1415 (2014) - [j106]Jing Wan, Zhilin Zhang, Bhaskar D. Rao, Shiaofen Fang, Jingwen Yan, Andrew J. Saykin, Li Shen:
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning. IEEE Trans. Medical Imaging 33(7): 1475-1487 (2014) - [j105]Xiaofei Chen, Fredric J. Harris, Elettra Venosa, Bhaskar D. Rao:
Non-Maximally Decimated Analysis/Synthesis Filter Banks: Applications in Wideband Digital Filtering. IEEE Trans. Signal Process. 62(4): 852-867 (2014) - [j104]Ranjitha Prasad, Chandra R. Murthy, Bhaskar D. Rao:
Joint Approximately Sparse Channel Estimation and Data Detection in OFDM Systems Using Sparse Bayesian Learning. IEEE Trans. Signal Process. 62(14): 3591-3603 (2014) - [j103]Anh H. Nguyen, Yichao Huang, Bhaskar D. Rao:
Learning Methods for CDF Scheduling in Multiuser Heterogeneous Systems. IEEE Trans. Signal Process. 62(15): 3727-3740 (2014) - [j102]Aniruddha Das, Bhaskar D. Rao:
Adaptive Non Orthogonal MFSK. IEEE Trans. Signal Process. 62(23): 6077-6088 (2014) - [j101]Furkan Can Kavasoglu, Yichao Huang, Bhaskar D. Rao:
Semi-Blind Interference Alignment Techniques for Small Cell Networks. IEEE Trans. Signal Process. 62(23): 6335-6348 (2014) - [c177]Oleg Tanchuk, Bhaskar Rao:
Exploiting sparsity during the detection of high-order QAM signals in large dimension MIMO systems. ACSSC 2014: 101-105 - [c176]PhuongBang C. Nguyen, Bhaskar Rao:
Optimal scheduling policies and the performance of the CDF scheduling. ACSSC 2014: 507-510 - [c175]Ritwik Giri, Bhaskar D. Rao:
Bootstrapped sparse Bayesian learning for sparse signal recovery. ACSSC 2014: 1657-1661 - [c174]Maher Al-Shoukairi, Bhaskar Rao:
Sparse Bayesian learning using approximate message passing. ACSSC 2014: 1957-1961 - [c173]Anh H. Nguyen, Yichao Huang, Bhaskar D. Rao:
Order statistics based CDF scheduling methods in multiuser heterogeneous systems. ICASSP 2014: 424-428 - [c172]Furkan Can Kavasoglu, Yichao Huang, Bhaskar D. Rao:
Location aided semi-blind interference alignment for clustered small cell networks. ICASSP 2014: 1135-1139 - [c171]PhuongBang C. Nguyen, Bhaskar D. Rao:
Delay control for CDF scheduling using Markov decision process. ICASSP 2014: 3469-3473 - [c170]Ritwik Giri, Bhaskar D. Rao:
Block sparse excitation based all-pole modeling of speech. ICASSP 2014: 3754-3758 - [c169]