Abstract Wireless Body Sensor Nodes (WBSN) are frequently used for real time IoT-based
health monitoring of patients outside the hospital environment. These WBSNs involve bio …

In this letter, a new algorithm is proposed for fast 1-bit compressed sensing (CS) recovery
from multiple measurement vectors (MMV). The proposed algorithm is based on the …

abstract The blockchain technology enabled cryptocurrencies and a lot of other applications
that trust is needed among different entities. Because every blockchain client needs to keep …

We develop a communication-efficient distributed estimation for the 1-bit compressive
sensing where unknown sparse signals are coded into binary measurements with noises …

Group-sparsity is a common low-complexity signal model with widespread application
across various domains of science and engineering. The recovery of such signal ensembles …

This paper considers the problem of identifying the joint support set (of size K) of N unknown
sparse vectors with d entries from 1-bit M compressed spatial measurements and N …

This thesis investigates different approaches to enable the use of compressed sensing (CS)-
based acquisition devices in resource-constrained environments relying on cheap, energy …

We develop, analyize, and numerically validate new recovery algorithms for quantized
compressed sensing. Our main focus lies on one-bit quantization. We extend existing theory …