Paper Info
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.
Year
DOI
Venue
2015
10.1007/978-3-319-19749-4_4
Applied and Numerical Harmonic Analysis
Field
DocType
Volume
Mathematical optimization,Oversampling,Algorithm,Theoretical computer science,Reconstruction error,Frame based,Frequency spectrum,Noise shaping,Sampling (statistics),Quantization (signal processing),Compressed sensing,Mathematics
Journal
abs/1502.05807
Citations 
PageRank 
References 
5
0.49
16
Authors
5
Name
Order
Citations
PageRank
Evan Chou150.49
C. Sinan Güntürk2857.87
Felix Krahmer336927.16
Rayan Saab414914.56
Özgür Yilmaz568551.36