Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems

Evan Chou; Cemalettin Gunturk; Felix Krahmer; Rayan Saab; Özgür Yılmaz

Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems

Evan Chou, Cemalettin Gunturk, Felix Krahmer, Rayan Saab, Özgür Yılmaz

Mathematics

Research output: Contribution to journal › Article › peer-review

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.

Original language	Undefined
Article number	1502.05807
Journal	arXiv
State	Published - Feb 20 2015

Keywords

cs.IT
math.FA
math.IT

Cite this

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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.",

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AU - Saab, Rayan

AU - Yılmaz, Özgür

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