Quantization of compressive samples with stable and robust recovery-Reference-Cited by-同舟云学术

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Quantization of compressive samples with stable and robust recovery

Published:2018-01 Issue:1 Volume:44 Page:123-143
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Saab Rayan,Wang Rongrong,Yılmaz Özgür^ORCID

Funder

NSERC

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference52 articles.

1. Toeplitz-structured compressed sensing matrices;Bajwa,2007

2. Model-based compressive sensing;Baraniuk;IEEE Trans. Inform. Theory,2010

3. Sigma–delta (ΣΔ) quantization and finite frames;Benedetto;IEEE Trans. Inform. Theory,2006

4. Sobolev duals in frame theory and sigma–delta quantization;Blum;J. Fourier Anal. Appl.,2010

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2. Quantization of Bandlimited Graph Signals;2023 International Conference on Sampling Theory and Applications (SampTA);2023-07-10

3. One-bit Sigma-Delta modulation on the circle;Advances in Computational Mathematics;2023-05-15

4. Sigma Delta Quantization for Images;Communications on Pure and Applied Mathematics;2023-01-18

5. Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing;2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS);2022-10

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