模拟-信息转换器结构重构算法的性能分析

2022 6th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT) Pub Date : 2022-08-22 DOI:10.1109/INSCIT55544.2022.9913759

Hugo B. S. Araujo, Rubens M. B. da S. Lima, Adna K. S. da Silva, C. P. de Souza

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引用次数: 0

摘要

压缩感知(CS)是一种允许以亚奈奎斯特采样率对稀疏信号进行采样的技术。实现CS技术的一种设备是模拟-信息转换器(AIC)，它在对输入信号进行采样的同时对其进行压缩。本文介绍了CS原理和应用于随机调制预积分器(RMPI) AIC的不同重建算法对双音正弦信号的性能分析。

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A Performance Analysis of Reconstruction Algorithms for an Analog-to-Information Converter Architecture

Compressed Sensing (CS) is a technique that allows the sampling of sparse signals with sub-Nyquist sampling rates. A device that implements the CS technique is the Analog-to-Information Converter (AIC), which compresses the input signal while sampling it. This paper presents CS principles and performance analysis of different reconstruction algorithms for a dual-tone sine signal applied to an adapted version of the Random Modulation Pre-Integrator (RMPI) AIC.

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2022 6th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

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