61 citations · 419 across the 59 of their papers we have counts for
10 papers · 2 filters
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…
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…
Distributed Quantization for Compressed Sensing
Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables e…
Analysis-by-Synthesis Quantization for Compressed Sensing Measurements
Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
We consider a resource-limited scenario where a sensor that uses compressed sensing (CS) collects a low number of measurements in order to observe a sparse signal, and the measurem…
Analysis-by-Synthesis-based Quantization of Compressed Sensing Measurements
Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
We consider a resource-constrained scenario where a compressed sensing- (CS) based sensor has a low number of measurements which are quantized at a low rate followed by transmissio…