61 citations · 419 across the 59 of their papers we have counts for
14 papers · 1 filter
Analysis of Democratic Voting Principles used in Distributed Greedy Algorithms
Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
A key aspect for any greedy pursuit algorithm used in compressed sensing is a good support-set detection method. For distributed compressed sensing, we consider a setup where many…
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction
Kezhi Li, Martin Sundin, Cristian R. Rojas +2
This article focuses on the problem of reconstructing low-rank matrices from underdetermined measurements using alternating optimization strategies. We endeavour to combine an alte…
SEK: Sparsity exploiting -mer-based estimation of bacterial community composition
Saikat Chatterjee, David Koslicki, Siyuan Dong +8
Motivation: Estimation of bacterial community composition from a high-throughput sequenced sample is an important task in metagenomics applications. Since the sample sequence data…
Relevance Singular Vector Machine for low-rank matrix sensing
Martin Sundin, Saikat Chatterjee, Magnus Jansson +1
In this paper we develop a new Bayesian inference method for low rank matrix reconstruction. We call the new method the Relevance Singular Vector Machine (RSVM) where appropriate p…
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee +1
This paper proposes a set of piecewise Toeplitz matrices as the linear mapping/sensing operator for recovering l…
Joint Source-Channel Vector Quantization for Compressed Sensing
Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
We study joint source-channel coding (JSCC) of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a framework for realizing optimum JSCC schemes that enab…