890 citations · 3k across the 39 of their papers we have counts for
43 papers
Regularized Neural Detection for One-Bit Massive MIMO Communication Systems
Aditya Sant, Bhaskar D. Rao
Detection for one-bit massive MIMO systems presents several challenges especially for higher order constellations. Recent advances in both model-based analysis and deep learning fr…
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao +1
Deep neural networks (DNNs) have greatly benefited direction of arrival (DoA) estimation methods for speech source localization in noisy environments. However, their localization a…
Vector Quantization Methods for Access Point Placement in Cell-Free Massive MIMO Systems
Govind R. Gopal, Bhaskar D. Rao
We examine the problem of uplink cell-free access point (AP) placement in the context of optimal throughput. In this regard, we formulate two main placement problems, namely the su…
Maximum Likelihood-based Gridless DoA Estimation Using Structured Covariance Matrix Recovery and SBL with Grid Refinement
Rohan R. Pote, Bhaskar D. Rao
We consider the parametric data model employed in applications such as line spectral estimation and direction-of-arrival estimation. We focus on the stochastic maximum likelihood e…
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
A deep neural network using rectified linear units represents a continuous piecewise linear (CPWL) function and vice versa. Recent results in the literature estimated that the numb…
A Generalized Proportionate-Type Normalized Subband Adaptive Filter
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao +1
We show that a new design criterion, i.e., the least squares on subband errors regularized by a weighted norm, can be used to generalize the proportionate-type normalized subband a…