Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/10972
Title: Sub-Nyquist sampling of high-speed repetitive waveforms using compressed sensing
Authors: Zhao, Yijiu
Zhuang, Xiaoyan
Wang, Houjun
Dai, Zhijian
Keywords: Compressed sensing (CS)
Equivalent sampling frequency
Interleaved sampling
Signal reconstruction
Issue Date: Feb-2011
Publisher: NISCAIR-CSIR, India
Abstract: This study presents a sub-Nyquist sampling model using compressed sensing (CS) as a new signal processing framework to acquire and reconstruct sparse signals. High-speed periodic signals were sampled using low frequency sampling circuit and reconstructed via CS recovery algorithm, resulting in a high equivalent sampling frequency. This prototype system is able to capture repetitive waveforms at an equivalent sampling rate of 2.5 GHz while sampling at no more than 50 MHz physically.
Description: 118-122
URI: http://hdl.handle.net/123456789/10972
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.70(02) [February 2011]

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