Book chapter
Xampling: compressed sensing of analog signals
Compressed Sensing:Theory and Applications, pp.88-147
2012
Abstract
This chapter generalizes compressed sensing (CS) to reduced-rate sampling of analog signals. It introduces Xampling, a unified framework for low-rate sampling and processing of signals lying in a union of subspaces. Xampling consists of two main blocks: analog compression that narrows down the input bandwidth prior to sampling with commercial devices followed by a nonlinear algorithm that detects the input subspace prior to conventional signal processing. A variety of analog CS applications are reviewed within the unified Xampling framework including a general filter-bank scheme for sparse shift-invariant spaces, periodic nonuniform sampling and modulated wideband conversion for multiband communications with unknown carrier frequencies, acquisition techniques for finite rate of innovation signals with applications to medical and radar imaging, and random demodulation of sparse harmonic tones. A hardware-oriented viewpoint is advocated throughout, addressing practical constraints and exemplifying hardware realizations where relevant.
Details
- Title
- Xampling; compressed sensing of analog signals
- Creators
- Moshe Mishali (null) - Technion – Israel Institute of TechnologyYonina C. Eldar (null) - Technion – Israel Institute of Technology
- Resource Type
- Book chapter
- Publication Details
- Compressed Sensing:Theory and Applications, pp.88-147; 2012
- Chapter Number
- Book Chapter: 3
- Number of pages
- 60
- Book Editors
- Eldar, Yonina C. ; Kutyniok, Gitta
- Publisher
- Cambridge University Press
- Language
- English
- DOI
- https://doi.org/10.1017/CBO9780511794308.004
- Grant note
- The authors would like to thank Kfir Gedalyahu and Ronen Tur for their collaboration on many topics related to this review and for authorizing the use of their figures, and Waheed Bajwa for many useful comments.
- ISBN
- 9781107005587
- Record Identifier
- 993267920303596
Metrics
45 Record Views