Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems
Information Theory
2015-02-23 v1 Functional Analysis
math.IT
Abstract
Noise shaping refers to an analog-to-digital conversion methodology in which quantization error is arranged to lie mostly outside the signal spectrum by means of oversampling and feedback. Recently it has been successfully applied to more general redundant linear sampling and reconstruction systems associated with frames as well as non-linear systems associated with compressive sampling. This chapter reviews some of the recent progress in this subject.
Cite
@article{arxiv.1502.05807,
title = {Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems},
author = {Evan Chou and C. Sinan Güntürk and Felix Krahmer and Rayan Saab and Özgür Yılmaz},
journal= {arXiv preprint arXiv:1502.05807},
year = {2015}
}
Comments
18 pages, 2 figures. chapter in the SAMPTA 2013 book