Extended Reconstruction Approaches for Saturation Measurements Using Reserved Quantization Indices

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Abstract

This paper proposes a reserved quantization indices method for saturated measurements in compressed sensing. The existing approaches tailored for saturation effect do not provide a way to identify saturated measurements, which is mandatory in practical implementations.We introduce a method using reserved
quantization indices to mark saturated measurements, which is applicable to current quantizer models. Two extended approaches based on the proposed method have been investigated compared to the existing approaches. The investigation shows that saturated measurements can be identified by reserved quantization indices without adding extra hardware resources while maintaining a comparable reconstruction quality to the existing approaches.
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This paper proposes a reserved quantization indices method for saturated measurements in compressed sensing. The existing approaches tailored for saturation effect do not provide a way to identify saturated measurements, which is mandatory in practical implementations.We introduce a method using reserved
quantization indices to mark saturated measurements, which is applicable to current quantizer models. Two extended approaches based on the proposed method have been investigated compared to the existing approaches. The investigation shows that saturated measurements can be identified by reserved quantization indices without adding extra hardware resources while maintaining a comparable reconstruction quality to the existing approaches.
Original languageEnglish
Title of host publicationProceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology
Number of pages5
PublisherIEEE Press
Publication date2012
Pages198-202
ISBN (Print)978-1-4673-5604-6
DOI
StatePublished - 2012
Publication categoryResearch
Peer-reviewedYes
EventIEEE International Symposium on Signal Processing and Information Technology - Ho Chi Minh City, Viet Nam
Duration: 12 Dec 201215 Dec 2012

Conference

ConferenceIEEE International Symposium on Signal Processing and Information Technology
LandViet Nam
ByHo Chi Minh City
Periode12/12/201215/12/2012

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