登录
首页 » matlab » 2013TSP

2013TSP

于 2019-01-12 发布
0 197
下载积分: 1 下载次数: 5

代码说明:

说明:  通过并行压缩进行二维信号压缩,提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理,译码器的重新构造可以并行进行。通过对二维信号进行某些排列,可以确保所有列具有大致相同的密度级别,并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化,从而大大减小测量矩阵的尺寸。我们证明,如果排列良好,重建均方误差的上限会更紧。为了说明这一方案,我们将其应用于视频压缩并使用不同帧的排列有两种:参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明,在相同的压缩比下,峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

文件列表:

Tools, 0 , 2013-04-06
Tools\l1magic, 0 , 2013-04-06
Tools\l1magic\cgsolve.m, 1693 , 2008-01-15
Tools\l1magic\l1eq_pd.m, 6079 , 2013-04-02
Tools\l1magic\l1qc_logbarrier.m, 3536 , 2011-04-26
Tools\l1magic\l1qc_newton.m, 4427 , 2013-03-28
Tools\l1magic\README.txt, 101 , 2013-04-06
Tools\psnr.m, 236 , 2006-08-08
Tools\YUV, 0 , 2013-04-06
Tools\YUV\CHANGES, 2070 , 2007-11-21
Tools\YUV\GPL, 15145 , 2003-05-23
Tools\YUV\LICENSE, 796 , 2007-11-21
Tools\YUV\yuv2rgb.m, 2839 , 2012-01-23
Tools\YUV\yuv_export.m, 1002 , 2012-01-23
Tools\YUV\yuv_import.m, 2091 , 2012-01-23
Tools\ZIGZAG_PERM, 0 , 2013-04-06
Tools\ZIGZAG_PERM\invperm_zigzag.m, 369 , 2013-04-06
Tools\ZIGZAG_PERM\perm_zigzag.m, 382 , 2013-04-06
Tools\ZIGZAG_SCAN, 0 , 2013-04-06
Tools\ZIGZAG_SCAN\invzigzag.m, 2717 , 2010-03-22
Tools\ZIGZAG_SCAN\license.txt, 1338 , 2010-03-24
Tools\ZIGZAG_SCAN\zigzag.m, 2350 , 2010-03-22
video compression, 0 , 2013-09-21
video compression\Data, 0 , 2013-09-13
video compression\Data\akiyo_qcif_noperm.mat, 460 , 2013-09-13
video compression\Data\akiyo_qcif_zigzagperm.mat, 461 , 2013-09-13
video compression\Data\coastguard_qcif_noperm.mat, 464 , 2013-09-13
video compression\Data\coastguard_qcif_zigzagperm.mat, 465 , 2013-09-13
video compression\Data\foreman_qcif_noperm.mat, 463 , 2013-09-13
video compression\Data\foreman_qcif_zigzagperm.mat, 464 , 2013-09-13
video compression\demo_video_parallel_cs.m, 2305 , 2013-04-06
video compression\Measurements, 0 , 2013-09-13
video compression\Measurements\RandomStates.mat, 543 , 2013-09-13
video compression\parallel_cs.m, 1909 , 2013-04-06
video compression\plot_fig_nonref.m, 1428 , 2013-04-06
video compression\plot_fig_ref.m, 1405 , 2013-04-06
video compression\README.txt, 2593 , 2013-04-06
video compression\script_demo_video_parallel_cs_0.m, 653 , 2013-04-06
video compression\script_demo_video_parallel_cs_1.m, 727 , 2013-04-06
video compression comparison, 0 , 2013-04-06
video compression comparison\cs_sbhe_iter=200.mat, 2417450 , 2013-04-04
video compression comparison\demo_recon_time_cs_sbhe.m, 4106 , 2013-04-06
video compression comparison\demo_recon_time_pcs.m, 2759 , 2013-04-06
video compression comparison\pcs_iter=200.mat, 1326727 , 2013-04-04
video compression comparison\README.txt, 2364 , 2013-04-06
video compression comparison\sensing_mtx.m, 983 , 2013-04-06
video compression comparison\sensing_mtx_trans.m, 1068 , 2013-04-06
README.txt, 2032 , 2013-09-21
block cs comparison, 0 , 2013-09-13
block cs comparison\ex_bcs_brec.m, 1206 , 2013-09-13
block cs comparison\ex_bcs_spl_dct.m, 1141 , 2013-09-13
block cs comparison\lena_bcs_brec.mat, 1358464 , 2013-08-04
block cs comparison\lena_bcs_spl.mat, 1049191 , 2013-08-05
block cs comparison\lena_pcs_zperm.mat, 5599154 , 2013-08-04
empirical performance, 0 , 2013-09-10
empirical performance\ex1.eps, 12526 , 2013-08-22
empirical performance\ex1.fig, 13070 , 2013-08-22
empirical performance\ex1.m, 4292 , 2013-08-22
empirical performance\ex1.mat, 2504236 , 2013-07-30
image compression, 0 , 2013-09-13
image compression\Data, 0 , 2013-05-30
image compression\Data\boat.512.tiff_noperm.mat, 341 , 2013-04-06
image compression\Data\boat.512.tiff_zigzagperm.mat, 341 , 2013-04-06
image compression\Data\cameraman.tif_noperm.mat, 340 , 2013-04-06
image compression\Data\cameraman.tif_zigzagperm.mat, 340 , 2013-04-06
image compression\Data\Lena.tiff_noperm.mat, 336 , 2013-04-06
image compression\Data\Lena.tiff_zigzagperm.mat, 336 , 2013-04-06
image compression\Data\Mandrill.tiff_noperm.mat, 337 , 2013-05-30
image compression\Data\Mandrill.tiff_zigzagperm.mat, 294 , 2013-05-31
image compression\Data\Peppers.tiff_noperm.mat, 340 , 2013-04-06
image compression\Data\Peppers.tiff_zigzagperm.mat, 340 , 2013-04-06
image compression\Data\psnr.fig, 12556 , 2012-11-11
image compression\demo_parallel_cs_no_perm.asv, 915 , 2013-05-31
image compression\demo_parallel_cs_no_perm.m, 990 , 2013-08-07
image compression\demo_parallel_cs_zigzag_perm.asv, 940 , 2013-08-04
image compression\demo_parallel_cs_zigzag_perm.m, 1051 , 2013-08-12
image compression\Measurements, 0 , 2013-04-06
image compression\Measurements\RandomStates.mat, 543 , 2012-01-26
image compression\parallel_cs_no_perm.m, 775 , 2013-03-28
image compression\parallel_cs_zigzag_perm.m, 888 , 2012-12-06
image compression\plot_psnr.m, 1398 , 2013-05-16
image compression\README.txt, 2296 , 2013-04-06
inf_norm_change, 0 , 2013-05-29
inf_norm_change\demo.m, 863 , 2013-05-29
layer_model, 0 , 2013-04-06
layer_model\layer_model.m, 1448 , 2013-04-06
layer_model\layer_model_boat.fig, 8365 , 2012-11-13
layer_model\layer_model_cameraman.fig, 8214 , 2012-08-10
layer_model\layer_model_lena.fig, 8411 , 2012-08-10
layer_model\layer_model_pepper.fig, 8338 , 2012-08-10
lb_zperm, 0 , 2013-04-06
lb_zperm\it_sum.m, 333 , 2013-04-06
lb_zperm\layer_lb.m, 804 , 2013-04-06
lb_zperm\plot_lb.m, 1498 , 2013-04-06
lb_zperm\r0=0_r1=1.fig, 12550 , 2012-11-23
lb_zperm\r0=0_r1=2.fig, 12680 , 2012-11-23
lb_zperm\r0=3_r1=5.fig, 14221 , 2012-11-23
ParallelCS, 0 , 2013-09-21
ParallelCS\parallel_cs_decoder.m, 1142 , 2013-04-06
ParallelCS\parallel_cs_decoder_l1magic.m, 1117 , 2013-04-06

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

  • SVR_SVC
    该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法(The toolkit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm)
    2010-01-21 09:55:25下载
    积分:1
  • cic
    在信号处理中,信号发射时,信号通过载波,调制,以电磁波的形式发射出来 在接收端,射频信号通过天线接收,超外差式等方式进行处理,变频到中频 然后通过数字技术对中频信号进行处理,此时的中频信号采样率很高,多达几十兆赫 而要解调出来的信号很小,此时就要经过滤波来得到我们需要的信号 如果直接设计滤波器,阶数会非常庞大,软件,硬件设备都承受不了 因此,一般常用的技术是进行下变频处理,其主要技术就是通过抽取滤波进行下变频 常用的滤波器就是CIC抽取, 希望可以帮助一些坛友解决基本的问题。 (In signal processing, signal emission, signal through the carrier, in the form of electromagnetic wave modulation, launched In the receiver, rf signals through the antenna, specialized superheterodyne type means such as processing, the frequency conversion to intermediate frequency Then through digital technology of intermediate frequency signal processing, at this time of intermediate frequency signal sampling rate is very high, as many as several decades MHZ But the signal demodulation out is very small, at this time would be passing filter to get what we need signal If design directly filter, order number be colossal, software, hardware equipment all suffer Therefore, the technology is usually used for down-transducer processing, its main technical is by extracting filtering down-transducer Commonly used filter is CIC extraction, the hope can help some friends solve basic problems of the altar.)
    2011-01-16 21:57:08下载
    积分:1
  • M_Harrisdetector
    一个harris角点检测的MATLAB元代码(a harris corner detection of MATLAB code yuan)
    2007-05-15 15:02:11下载
    积分:1
  • SBSa
    利用MATLAB求解受激布里渊散射的三波耦合方程,从实现全分布式光纤传感系统的仿真模拟!(Using MATLAB to solve the stimulated Brillouin scattering of three-wave coupling equations, from the implementation of fully distributed fiber optic sensing system simulation!)
    2021-03-21 20:19:17下载
    积分:1
  • Ftezhengpailei
    shi te zheng pailei de daima
    2005-04-29 15:29:34下载
    积分:1
  • VectorControlModel_20101106_2214
    磁场定向矢量控制的simulink仿真模型(simulink model with vector control)
    2011-06-13 02:29:42下载
    积分:1
  • BS-LMS
    LMS算法的修改更好地衔接和使用两个步骤尺寸较小的MSE(Modification of the LMS algorithm is better convergence and the use of two steps smaller MSE)
    2012-07-14 10:58:12下载
    积分:1
  • Genetic-algorithm
    采用MATLAB编程,采用遗传算法求分段函数极值(Using MATLAB programming, using genetic algorithm for segmentation function extremum)
    2013-11-12 17:19:10下载
    积分:1
  • hbt
    一个希尔伯特变换的Matlab程序,以前老师给的(a program code of hilbert transform)
    2012-09-26 18:12:53下载
    积分:1
  • yanzCMA1_rayleigh
    该文件包含了8psk调制信号的产生,以及经过多径瑞利信道后,前后对比的星座图,经过CMA均衡算法后输出信号,能对均衡算法有更深的认识。(This file contains the generated 8psk modulation signal and multipath Rayleigh channel after, before and after the constellation, after CMA equalization algorithm output signal, capable of balancing algorithms have a better understanding.)
    2021-03-16 22:59:21下载
    积分:1
  • 696518资源总数
  • 106161会员总数
  • 5今日下载