23 citations · 40 across the 10 of their papers we have counts for
11 papers
Sensing Throughput Optimization in Fading Cognitive Multiple Access Channels With Energy Harvesting Secondary Transmitters
Sinchan Biswas, Amirpasha Shirazinia, Subhrakanti Dey
The paper investigates the problem of maximizing expected sum throughput in a fading multiple access cognitive radio network when secondary user (SU) transmitters have energy harve…
Power-Constrained Sparse Gaussian Linear Dimensionality Reduction over Noisy Channels
Amirpasha Shirazinia, Subhrakanti Dey
In this paper, we investigate power-constrained sensing matrix design in a sparse Gaussian linear dimensionality reduction framework. Our study is carried out in a single--terminal…
Optimized Compressed Sensing Matrix Design for Noisy Communication Channels
Amirpasha Shirazinia, Subhrakanti Dey
We investigate a power-constrained sensing matrix design problem for a compressed sensing framework. We adopt a mean square error (MSE) performance criterion for sparse source reco…
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…