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于 2009-08-02 发布 文件大小:437KB
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说明:  冈萨雷斯教材中的源代码,以及一些matlab源程序(Gonzalez materials of the source code, as well as some source code matlab)

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    该文对压缩感知的原理及应用进行了简单的概述,内容包括信号的获取及压缩,压缩感知的理论框架、步骤等。(In this paper, the principle of compressed sensing and a brief overview of the application, including signal acquisition and compression, the theory of compressed sensing framework, steps and so on.)
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    cohere(x,y,M) computes the coherence function using successive DFTs of length with a Hanning window and 50 overlap. (The window and overlap can be controlled via additional optional arguments.) We see a coherence peak at frequency cycles/sample, as expected, but there are also two rather large coherence samples on either side of the main peak. These are expected as well, since the true cross-spectrum for this case is a critically sampled Hanning window transform. (A window transform is critically sampled whenever the window length equals the DFT length.)
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