Analysis-by-synthesis-based Quantization of Compressed Sensing Measurements
2013 (English)In: 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, New York: IEEE , 2013, 5810-5814 p.Conference paper (Refereed)
We consider a resource-constrained scenario where a compressed sensing- (CS) based sensor has a low number of measurements which are quantized at a low rate followed by transmission or storage. Applying this scenario, we develop a new quantizer design which aims to attain a high-quality reconstruction performance of a sparse source signal based on analysis-by-synthesis framework. Through simulations, we compare the performance of the proposed quantization algorithm vis-a-vis existing quantization methods.
Place, publisher, year, edition, pages
New York: IEEE , 2013. 5810-5814 p.
, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ISSN 1520-6149
Quantization, compressed sensing, analysis-by- synthesis, sparsity, mean-square error
Telecommunications Signal Processing
IdentifiersURN: urn:nbn:se:kth:diva-119084DOI: 10.1109/ICASSP.2013.6638778ISI: 000329611505196ScopusID: 2-s2.0-84890508472ISBN: 978-1-4799-0356-6ISBN: 978-1-4799-0355-9OAI: oai:DiVA.org:kth-119084DiVA: diva2:609434
2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013; Vancouver, BC; Canada; 26 May 2013 through 31 May 2013
QC 201309022013-03-052013-03-052014-02-25Bibliographically approved