登录
首页 » matlab » sons

sons

于 2020-12-03 发布 文件大小:61703KB
0 191
下载积分: 1 下载次数: 8

代码说明:

  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.

文件列表:

sons
....\729.wav,198696,2016-06-16
....\afblue.wav,10063918,2003-10-28
....\afdirge.wav,48222766,2003-10-28
....\al19 (1).wav,377260,2016-06-16
....\boing.wav,7948,2005-11-18
....\Compressed-Sensing-master
....\.........................\Compressed Sensing
....\.........................\..................\.DS_Store,10244,2016-07-13
....\.........................\..................\code
....\.........................\..................\....\.DS_Store,6148,2016-07-13
....\.........................\..................\....\approximate message passing
....\.........................\..................\....\...........................\demo.m,510,2016-07-13
....\.........................\..................\....\...........................\largestElement.m,390,2016-07-13
....\.........................\..................\....\...........................\README.txt,268,2016-07-13
....\.........................\..................\....\...........................\README.txt~,194,2016-07-13
....\.........................\..................\....\...........................\reconstructAmp.m,2124,2016-07-13
....\.........................\..................\....\ApproximateMessagePassing.m,737,2016-07-13
....\.........................\..................\....\Bayesian
....\.........................\..................\....\........\Experiment_Effect_Undersampling_ratio.m,4308,2016-07-13
....\.........................\..................\....\Bregman
....\.........................\..................\....\.......\coordl1breg.m,3436,2016-07-13
....\.........................\..................\....\.......\coordl1bregdemo.m,1081,2016-07-13
....\.........................\..................\....\.......\coordlsl1.m,3014,2016-07-13
....\.........................\..................\....\.......\license.txt,1308,2016-07-13
....\.........................\..................\....\.......\readme.txt,408,2016-07-13
....\.........................\..................\....\Camera.tif,65126,2016-07-13
....\.........................\..................\....\chaining pursuit
....\.........................\..................\....\................\ChainingPursuit.m,4539,2016-07-13
....\.........................\..................\....\................\EncodeSignal.m,1453,2016-07-13
....\.........................\..................\....\................\example.m,1261,2016-07-13
....\.........................\..................\....\................\GenerateMeasurements.m,1264,2016-07-13
....\.........................\..................\....\................\readme.rtf,2653,2016-07-13
....\.........................\..................\....\Cleves_Corner_Compressed_Sensing.m,2094,2016-07-13
....\.........................\..................\....\client.m,1560,2016-07-13
....\.........................\..................\....\coordl1breg.m,3436,2016-07-13
....\.........................\..................\....\coordl1bregdemo.m,1081,2016-07-13
....\.........................\..................\....\coordlsl1.m,3014,2016-07-13
....\.........................\..................\....\demo_continuation.m,7046,2016-07-13
....\.........................\..................\....\demo_image_deblur.m,5849,2016-07-13
....\.........................\..................\....\dtmf.m,2715,2016-07-13
....\.........................\..................\....\eta.m,114,2016-07-13
....\.........................\..................\....\etaprime.m,212,2016-07-13
....\.........................\..................\....\failure.m,1363,2016-07-13
....\.........................\..................\....\failure.wav,16508,2016-07-13
....\.........................\..................\....\fft.mat,455168,2016-07-13
....\.........................\..................\....\fftcode.m,455,2016-07-13
....\.........................\..................\....\figures_1_2_3.m,8489,2016-07-13
....\.........................\..................\....\figure_4.m,5225,2016-07-13
....\.........................\..................\....\figure_5.m,5276,2016-07-13
....\.........................\..................\....\figure_6.m,2377,2016-07-13
....\.........................\..................\....\FINAL
....\.........................\..................\....\.....\AMPclient.m,2690,2016-07-13
....\.........................\..................\....\.....\AMPserver.m,1482,2016-07-13
....\.........................\..................\....\.....\basispursuitclient.m,2609,2016-07-13
....\.........................\..................\....\.....\basispursuitserver.m,1568,2016-07-13
....\.........................\..................\....\.....\client.m,1382,2016-07-13
....\.........................\..................\....\.....\eta.m,114,2016-07-13
....\.........................\..................\....\.....\etaprime.m,212,2016-07-13
....\.........................\..................\....\.....\l1_pd.m,3848,2016-07-13
....\.........................\..................\....\.....\largestElement.m,390,2016-07-13
....\.........................\..................\....\.....\OMP.m,3606,2016-07-13
....\.........................\..................\....\.....\OMPclient.m,1968,2016-07-13
....\.........................\..................\....\.....\OMPserver.m,1250,2016-07-13
....\.........................\..................\....\.....\reconstructAmp.m,1121,2016-07-13
....\.........................\..................\....\.....\result_graph.m,757,2016-07-13
....\.........................\..................\....\.....\server.m,1651,2016-07-13
....\.........................\..................\....\FOCUSS
....\.........................\..................\....\......\lmp_re_ls.m,2030,2016-07-13
....\.........................\..................\....\frequencies.txt,121,2016-07-13
....\.........................\..................\....\g.m,1137,2016-07-13
....\.........................\..................\....\GPSR_Basic.m,21922,2016-07-13
....\.........................\..................\....\GPSR_BB.m,23882,2016-07-13
....\.........................\..................\....\greedy
....\.........................\..................\....\......\CoSaMP.m,11081,2016-07-13
....\.........................\..................\....\......\OMP.m,8339,2016-07-13
....\.........................\..................\....\......\test_OMP_and_CoSaMP.m,6379,2016-07-13
....\.........................\..................\....\GroupSparseBox
....\.........................\..................\....\..............\BOMP.m,974,2016-07-13
....\.........................\..................\....\..............\fdrthresh.m,549,2016-07-13
....\.........................\..................\....\..............\GenGroupSparseProblem.m,878,2016-07-13
....\.........................\..................\....\..............\GOMP.m,863,2016-07-13
....\.........................\..................\....\..............\matrix_normalizer.m,106,2016-07-13
....\.........................\..................\....\..............\ReGOMP.m,1683,2016-07-13
....\.........................\..................\....\..............\StGOMP.m,1354,2016-07-13
....\.........................\..................\....\GroupSparseBox.zip,5437,2016-07-13
....\.........................\..................\....\guitar sample
....\.........................\..................\....\.............\guitar.wav,180662,2016-07-13
....\.........................\..................\....\.............\l1eq_pd.m,5371,2016-07-13
....\.........................\..................\....\.............\Untitled.m,1420,2016-07-13
....\.........................\..................\....\.............\wavinout.m,1722,2016-07-13
....\.........................\..................\....\hard_l0_reg.m,11080,2016-07-13
....\.........................\..................\....\iht.m,347,2016-07-13
....\.........................\..................\....\iht_fft.m,1217,2016-07-13
....\.........................\..................\....\immi1.mat,1296396,2016-07-13
....\.........................\..................\....\IST.m,12630,2016-07-13
....\.........................\..................\....\IT
....\.........................\..................\....\..\.DS_Store,15364,2016-07-13
....\.........................\..................\....\..\COPYRIGHT.m,20772,2016-07-13
....\.........................\..................\....\..\Examples

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Diangxiangyuan_Dikong_3ceng_renyidianxVVVV090323
    基于辛普森积分计算电磁场外层线积分响应,关于电磁法方面的(Simpson points based on the calculation of electromagnetic fields in response to the outer line of points on the electromagnetic law)
    2009-04-28 10:06:22下载
    积分:1
  • kalman.rar
    这是卡尔曼滤波算法的一个源程序,希望对大家有所帮助。(Kalman filter algorithm which is a source, we want to help.)
    2011-05-02 11:17:30下载
    积分:1
  • shumo2007B
    全国数学建模2007B题MATLAB源代码,自己写的(National problem of mathematical modeling 2007B MATLAB source code, written in their own)
    2011-09-22 21:38:16下载
    积分:1
  • kalman-filter-vs-its-matlab-code-
    对于初学者来说,有助于理解滤波器的原理还附有简单的matlab编程(For beginners to understand the principles and simple filter matlab programming)
    2011-10-26 10:33:08下载
    积分:1
  • denoise
    Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.
    2012-10-06 19:34:27下载
    积分:1
  • FKFCM
    FKCM图像分割算法的Matlab程序。希望对大家有所帮助。(Image segmentation algorithm FKCM program Matlab. We want to help.)
    2009-05-17 13:51:53下载
    积分:1
  • watermark小波代码
    这是基于小波变换的数字水印代码,在嵌入的水印加上一个pn尾随机序列(This is based on the wavelet transform digital watermark code, the embedded watermark with a random sequence late pn)
    2005-04-25 18:26:04下载
    积分:1
  • DCTpDWT
    关于数字水印的matlab代码,对初学者有很大帮助,也可以拿来做毕业设计的资料(On digital watermarking matlab code, very helpful for beginners, but also can be used to do graduate design)
    2013-04-22 00:55:16下载
    积分:1
  • Laplacian_Eigenmaps
    拉普拉斯特征映射算法,可实现高维信号降维或实现带内滤波降噪。(Laplace feature mapping algorithm, can achieve high dimensional signal dimensionality reduction or implement band noise filtering.)
    2020-11-20 17:49:38下载
    积分:1
  • MulSeed
    多种子点的区域增长,程序可在matlab环境中更直接运行;(Many seeds of regional growth, the program can be more direct in matlab environment to run )
    2010-09-17 21:34:52下载
    积分:1
  • 696516资源总数
  • 106475会员总数
  • 7今日下载