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JSIR Vol.71(03) [March 2012] >


Title: Ultrasonic signal compressive detection with sub-Nyquist sampling rate
Authors: Zhuang, Xiaoyan
Zhao, Yijiu
Dai, Zhijian
Wang, Houjun
Wang, Li
Keywords: Analog-to-information Converter (AIC)
Compressive Sampling
Joint Signal Reconstruction
Sub-Nyquist Sampling
Ultrasonic Signal
Issue Date: Mar-2012
Publisher: NISCAIR-CSIR, India
Abstract: This study presents a compressed sensing (CS) based sampling approach for repetitive ultrasonic signal. Proposed system considers recovering ultrasonic signal with high equivalent sampling frequency from samples captured using analog-to-digital converter (ADC) clocked at a rate lower than Nyquist rate. A basis function is constructed to realize ultrasonic signal sparse representation, which paves the way for applying CS theory to ultrasonic signal sub-Nyquist sampling. A sampling architecture, applicable for ultrasonic compressive detection, is developed. With this sampling system, an ultrasonic signal sampled at ultralow rate, but still can be recovered with overwhelming probability.
Page(s): 195-199
CC License:  CC Attribution-Noncommercial-No Derivative Works 2.5 India
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.71(03) [March 2012]

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