Research on Performance of Analog to Information Converter

Bei Bei Tang; Yun Zhang; Zhi Jing Xu; Jun Li

doi:10.4028/www.scientific.net/AMM.333-335.601

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Research on Performance of Analog to Information...

Research on Performance of Analog to Information Converter

Abstract:

Compressive Sensing (CS) Theory enables sampling discrete signals with quite lower sampling rate compared with traditional Nyquist sampling rate and guaranteeing faithful reconstruction. Based on CS theory, Analog-to-Information Conversion (AIC) was proposed to process continuous-time signal. In this paper, the framework of Analog-to-Information Converter is composed by a pseudo-random demodulator, a low pass analog filter and a low speed sampler. And we mainly discuss the damage on the signal recovery produced by lower and higher orders of filter impulse response.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

601-604

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.601

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Online since:

July 2013

Authors:

Bei Bei Tang, Yun Zhang, Zhi Jing Xu, Jun Li

Keywords:

Analog-to-Information Converter, Low Pass Analog Filter, Signal Recovery

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