Memoryless scalar quantization for random frames-Reference-Cited by-同舟云学术

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Memoryless scalar quantization for random frames

Published:2021-06-15 Issue:2 Volume:19 Page:
ISSN:2730-5716
Container-title:Sampling Theory, Signal Processing, and Data Analysis
language:en
Short-container-title:Sampl. Theory Signal Process. Data Anal.

Author:

Melnykova Kateryna^ORCID,Yilmaz Özgür

Funder

NSERC

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

University of British Columbia

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Radiology, Nuclear Medicine and imaging,Signal Processing,Algebra and Number Theory,Analysis

Link

https://link.springer.com/content/pdf/10.1007/s43670-021-00012-4.pdf

Reference58 articles.

1. Ai, A., Lapanowski, A., Plan, Y., Vershynin, R.: One-bit compressed sensing with non-Gaussian measurements. Linear Algebra Appl. 441, 222–239 (2014)

2. Bandeira, A.S., Dobriban, E., Mixon, D.G., Sawin, W.F.: Certifying the restricted isometry property is hard. IEEE Trans. Inf. Theory 59(6), 3448–3450 (2013)

3. Benedetto, J., Powell, A., Yilmaz, Ö.: Sigma-delta quantization and finite frames. IEEE Trans. Inf. Theory 52(5), 1990–2005 (2006)

4. Bennett, W.: Spectra of quantized signals. Bell Syst. Tech. J. 27, 446–472 (1948)

5. Blum, J., Lammers, M., Powell, A., Yılmaz, Ö.: Sobolev duals in frame theory and $$\Sigma \Delta $$ quantization. J. Fourier Anal. Appl. 16(3), 365–381 (2010)

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