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20132021
most citedImproved Bounds on RIP for Generalized Orthogonal Matching Pursuit

32 citations · 50 across the 5 of their papers we have counts for

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cs.IT2015

A Modified Multiple OLS (mOLS) Algorithm for Signal Recovery in Compressive Sensing

Samrat Mukhopadhyay, Siddhartha Satpathi, Mrityunjoy Chakraborty

Orthogonal least square (OLS) is an important sparse signal recovery algorithm for compressive sensing, which enjoys superior probability of success over other well-known recovery…

cs.IT2014★ 16 cited

Optimal Offline and Competitive Online Strategies for Transmitter-Receiver Energy Harvesting

Siddhartha Satpathi, Rushil Nagda, Rahul Vaze

A joint transmitter-receiver energy harvesting model is considered, where both the transmitter and receiver are powered by (renewable) energy harvesting source. Given a fixed numbe…

cs.IT2014

Optimal Offline and Competitive Online Strategies for Transmitter-Receiver Energy Harvesting

Rushil Nagda, Siddharth Satpathi, Rahul Vaze

Transmitter-receiver energy harvesting model is assumed, where both the transmitter and receiver are powered by random energy source. Given a fixed number of bits, the problem is t…

cs.IT2014

On the Number of Iterations for Convergence of CoSaMP and Subspace Pursuit Algorithms

Siddhartha Satpathi, Mrityunjoy Chakraborty

In compressive sensing, one important parameter that characterizes the various greedy recovery algorithms is the iteration bound which provides the maximum number of iterations by…

cs.IT2013★ 32 cited

Improved Bounds on RIP for Generalized Orthogonal Matching Pursuit

Siddhartha Satpathi, Rajib Lochan Das, Mrityunjoy Chakraborty

Generalized Orthogonal Matching Pursuit (gOMP) is a natural extension of OMP algorithm where unlike OMP, it may select atoms in each iteration. In this paper, we demons…