Paper Info
Title
Iterative Methods for Sparse Signal Reconstruction from Level Crossings.
Abstract
This letter considers the problem of sparse signal reconstruction from the timing of its Level Crossings (LC)s. We formulate the sparse Zero Crossing (ZC) reconstruction problem in terms of a single 1-bit Compressive Sensing (CS) model. We also extend the Smoothed L0 (SL0) sparse reconstruction algorithm to the 1-bit CS framework and propose the Binary SL0 (BSL0) algorithm for iterative reconstruction of the sparse signal from ZCs in cases where the number of sparse coefficients is not known to the reconstruction algorithm a priori. Similar to the ZC case, we propose a system of simultaneously constrained signed-CS problems to reconstruct a sparse signal from its Level Crossings (LC)s and modify both the Binary Iterative Hard Thresholding (BIHT) and BSL0 algorithms to solve this problem. Simulation results demonstrate superior performance of the proposed LC reconstruction techniques in comparison with the literature.
Year
Venue
Field
2016
arXiv: Information Theory
Iterative reconstruction,Mathematical optimization,Computer science,Iterative method,A priori and a posteriori,Sparse approximation,Reconstruction algorithm,Thresholding,Signal reconstruction,Compressed sensing
DocType
Volume
Citations 
Journal
abs/1611.10136
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Mahdi Boloursaz Mashhadi1235.13
Farokh Marvasti257372.71