A hardware implementation of random demodulation analog-to-information converter
Author:
Affiliation:
1. Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications
2. Hisilicon Research Department, Huawei Technologies Co. Ltd
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Link
https://www.jstage.jst.go.jp/article/elex/13/16/13_13.20160465/_pdf
Reference12 articles.
1. [1] E. J. Candeset al.: “Stable signal recovery from incomplete and inaccurate measurements,” Commun. Pure Appl. Math. 59 (2006) 1207 (DOI: 10.1002/cpa.20124).
2. [2] S. Kirolos, et al.: “Analog-to-information conversion via random demodulation,” 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software (2006) 71 (DOI: 10.1109/DCAS.2006.321036).
3. [3] M. Mishali and Y. C. Eldar: “From theory to practice: sub-Nyquist sampling of sparse wideband analog signals,” IEEE J. Sel. Topics Signal Process. 4 (2010) 375 (DOI: 10.1109/JSTSP.2010.2042414).
4. [4] J. Yoo, et al.: “Design and implementation of a fully integrated compressed-sensing signal acquisition system,” ICASSP, IEEE Int. Conf. Acoust. Speech Signal Process (2012) 5325 (DOI: 10.1109/ICASSP.2012.6289123).
5. [5] W. Xuet al.: “Performance analysis of partial segmented compressed sampling,” Signal Process. 93 (2013) 2653 (DOI: 10.1016/j.sigpro.2013.02.001).
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