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

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

Research output: Contribution to journalArticle

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 languageUndefined
Article number1502.05807
JournalarXiv
StatePublished - Feb 20 2015

Keywords

  • cs.IT
  • math.FA
  • math.IT

Cite this

Chou, E., Gunturk, C., Krahmer, F., Saab, R., & Yılmaz, Ö. (2015). Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. arXiv, [1502.05807].