2011Dianzi qijianRequires access

Performance Simulation of Analog to Information Converter Based on Compressive Sensing

Jianfeng Wu

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Abstract

In order to enhance resolution and meet the requirements of real-time processing,Conventional communications equipment is facing with the challenges on high sampling rates and faster processing speed,which constrained by the Nyquist sampling theorem.Nevertheless,analogue-to-information converter(ATC),based on compressive sensing theory,can reconstruct the original signal accurately,and its signal sampling is much lower than Nyquist sampling rate.Simulation results show that the signal can been accurately reconstructed in the AIC device.And the probability of reconstruction is closely related to the parameters of AIC device.

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What this paper is about

In order to enhance resolution and meet the requirements of real-time processing,Conventional communications equipment is facing with the challenges on high sampling rates and faster processing speed,which constrained by the Nyquist sampling theorem.Nevertheless,analogue-to-information converter(ATC),based on compressive sensing theory,can reconstruct the original signal accurately,and its signal sampling is much lower than Nyquist sampling rate.Simulation results show that the signal can been accurately reconstructed in the AIC device.And the probability of reconstruction is closely related to the parameters of AIC device.

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Available abstract

In order to enhance resolution and meet the requirements of real-time processing,Conventional communications equipment is facing with the challenges on high sampling rates and faster processing speed,which constrained by the Nyquist sampling theorem.Nevertheless,analogue-to-information converter(ATC),based on compressive sensing theory,can reconstruct the original signal accurately,and its signal sampling is much lower than Nyquist sampling rate.Simulation results show that the signal can been accurately reconstructed in the AIC device.And the probability of reconstruction is closely related to the parameters of AIC device.

Key concepts: Compressed sensing, Nyquist–Shannon sampling theorem, Nyquist rate, Sampling (signal processing), SIGNAL (programming language), Computer science, Signal reconstruction, Electronic engineering

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