An Embedded Programmable Processor for Compressive Sensing Applications

An application specific programmable processor is designed based on the analysis of a set of greedy recovery Compressive Sensing (CS) algorithms. The solution is flexible and customizable for a wide range of problem dimensions, as well as algorithms. The versatility of the approach is demonstrated b...

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Bibliographic Details

Published in:	2018 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC) pp. 1 - 5
Main Authors:	Safarpour, Mehdi, Hautala, Ilkka, Silven, Olli
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2018
Subjects:	Approximation algorithms Compressed sensing Compressive Sensing Embedded Processor IoT Matching pursuit algorithms Power demand Registers Signal Reconstruction Software algorithms Sparse matrices
Online Access:	Get full text
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