@inbook{031352b82be541b988f0195105e5de56,
title = "Noise-shaping quantization methods for frame-based and compressive sampling systems",
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.",
keywords = "Compressible signal, Compressive sampling, Dual frame, Reconstruction error, Sparse signal",
author = "Evan Chou and G{\"u}nt{\"u}rk, {C. Sinan} and Felix Krahmer and Rayan Saab and {\"O}zg{\"u}r Yılmaz",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.",
year = "2015",
doi = "10.1007/978-3-319-19749-4_4",
language = "English",
series = "Applied and Numerical Harmonic Analysis",
publisher = "Springer International Publishing",
number = "9783319197487",
pages = "157--184",
booktitle = "Applied and Numerical Harmonic Analysis",
edition = "9783319197487",
}