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mmc1

于 2019-05-06 发布 文件大小:8871KB
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  Seismo volcanalysis toolbox: signal analysis tools for seismo-volcanic events by P. Lesage

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  • matlabyingyong
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    2006-10-31 17:05:18下载
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    2012-08-23 20:57:02下载
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    2010-11-23 10:07:40下载
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    2010-05-29 17:44:20下载
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  • TongJiTaoLi
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    2008-11-26 21:19:43下载
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    本源码基于MATLAB R2010b基础上,通过GUI架构的支持下,设计了基于暗通道先验法对有雾图像的去雾系统。(The source code based on MATLAB R2010b basis, through support GUI architecture, the design method based on a priori dark passage foggy image defogging system.)
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    Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.
    2020-12-03 13:19:24下载
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