Search Results for author: Mrityunjoy Chakraborty

Found 6 papers, 0 papers with code

A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm

no code implementations18 Aug 2020 Samrat Mukhopadhyay, Mrityunjoy Chakraborty

Furthermore, assuming real Gaussian sensing matrix entries, we find a lower bound on the probability that the derived recovery bounds are satisfied.

Modified Hard Thresholding Pursuit with Regularization Assisted Support Identification

no code implementations2 Jun 2020 Samrat Mukhopadhyay, Mrityunjoy Chakraborty

Hard thresholding pursuit (HTP) is a recently proposed iterative sparse recovery algorithm which is a result of combination of a support selection step from iterated hard thresholding (IHT) and an estimation step from the orthogonal matching pursuit (OMP).

Performance Analysis of the Gradient Comparator LMS Algorithm

no code implementations10 May 2016 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 least mean square (LMS), but is shown to perform worse than the LMS when sparsity of the impulse response decreases.

Adaptive Combination of l0 LMS Adaptive Filters for Sparse System Identification in Fluctuating Noise Power

no code implementations10 May 2016 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 of l0 pseudonorm penalty.

Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm

no code implementations29 Jul 2015 Vinay Chakravarthi Gogineni, Mrityunjoy Chakraborty

The performance analysis of the proposed multi-task diffusion APA algorithm is studied in mean and mean square sense.

Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks

no code implementations26 Oct 2014 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.

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