5 citations · 5 across the 4 of their papers we have counts for
4 papers
Adaptive Combination of l0 LMS Adaptive Filters for Sparse System Identification in Fluctuating Noise Power
Bijit Kumar Das, Mrityunjoy Chakraborty
Recently, the l0-least mean square (l0-LMS) algorithm has been proposed to identify sparse linear systems by employing a sparsity-promoting continuous function as an approximation…
Performance Analysis of the Gradient Comparator LMS Algorithm
Bijit Kumar Das, Mrityunjoy Chakraborty
The sparsity-aware zero attractor least mean square (ZA-LMS) algorithm manifests much lower misadjustment in strongly sparse environment than its sparsity-agnostic counterpart, the…
Performance Analysis of Norm Constrained Recursive Least Squares Algorithm
Samrat Mukhopadhyay, Bijit Kumar Das, Mrityunjoy Chakraborty
Performance analysis of norm constrained Recursive least Squares (RLS) algorithm is attempted in this paper. Though the performance pretty attractive compared to its various…
Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks
Bijit Kumar Das, Mrityunjoy Chakraborty, Jerónimo Arenas-García
In-network distributed estimation of sparse parameter vectors via diffusion LMS strategies has been studied and investigated in recent years. In all the existing works, some convex…