High performance compressive sensing reconstruction hardware with QRD process

Abstract

This paper presents a high performance architecture for the reconstruction of compressive sampled signals using Orthogonal Matching Pursuit (OMP) algorithm. Q-R decomposition (QRD) process is used for the matrix inverse core and a new algorithm for finding fast inverse square root of a fixed point number is also implemented to support the QRD process. The… (More)
DOI: 10.1109/ISCAS.2012.6271921

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@article{Stanislaus2012HighPC, title={High performance compressive sensing reconstruction hardware with QRD process}, author={J{\'e}r{\^o}me L. V. M. Stanislaus and Tinoosh Mohsenin}, journal={2012 IEEE International Symposium on Circuits and Systems}, year={2012}, pages={29-32} }