基于压缩采样的模拟到信息转换的研究与实现  

Research and Implementation of Analog-to-Information Conversion in Compressive Sensing

作　　者：黄晓霞[1] 

机构地区：[1]中南民族大学电子信息工程学院,湖北武汉430074

出　　处：《软件导刊》2011年第8期19-21,共3页Software Guide

摘　　要：传统通信设备在处理宽带频谱稀疏信号时,面临高采样率、快处理速度等方面的困难。提出了一种基于压缩采样(Compressive Sensing,CS)的模拟到信息转换方法,解码端采用一定的算法对信号精确重构。仿真结果表明,与传统方法相比较,采样率降低了,并呈现出很好的恢复性能。The aditional communication equipments for Spectrally-sparse wideband signals are faced with many other difficulties ,such as a high rate of sampling , faster processing speed . In this article, we present a new method for analog-toinformation based on compressinve sensing, and the decode can use a certain algorithm to accurately reconstruct the signal. The simulation results show that, compared with traditional method, the sampling rate has been reduced, and showe a good recovery performance.

关 键 词：压缩采样 模拟到信息的转换 多频谱采样 频谱估计 

分 类 号：TP335.4[自动化与计算机技术—计算机系统结构]