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Prony-Toolbox

于 2020-06-30 发布 文件大小:551KB
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代码说明：

  Prony的matlab工具箱，很详细，使用它可以对信号进行prony变换和分析。(Prony matlab toolbox,the signal can be prony transformation and analysis.)

文件列表：

Prony Toolbox
.............\about.html,2596,2003-07-06
.............\applyprony.m,1201,2003-06-14
.............\comparesessions.fig,52488,2003-05-22
.............\comparesessions.m,24992,2003-07-06
.............\Demos
.............\.....\bbnoise_demo.mat,3456,2003-07-14
.............\.....\create_demo.m,318,2003-07-14
.............\.....\puretone_demo.mat,3456,2003-07-14
.............\.....\pure_demo.mat,3456,2003-07-14
.............\demos.html,2988,2003-07-06
.............\design.html,11947,2003-07-06

.............\exportresults.fig,105312,2003-07-06
.............\exportresults.m,71116,2003-07-06
.............\export_file.mat,472,2003-07-06
.............\fft_analysis.m,637,2003-07-07
.............\gui.html,12450,2003-07-06
.............\imageicons.mat,235384,2003-04-27
.............\mmv2struct.m,2389,2003-02-21
.............\PCRdata
.............\.......\60Ar
.............\.......\....\60Ar_i100.mat,40272,2003-05-15
.............\.......\....\60Ar_i1000.mat,40272,2003-05-19
.............\.......\....\60Ar_i1500.mat,40272,2003-05-15
.............\.......\....\60Ar_i400.mat,40272,2003-05-15
.............\.......\....\60Ar_i700.mat,40272,2003-05-15
.............\.......\....\60Ar_v100.mat,40272,2003-05-15
.............\.......\....\60Ar_v1000.mat,40272,2003-05-15
.............\.......\....\60Ar_v1500.mat,40272,2003-05-15
.............\.......\....\60Ar_v400.mat,40272,2003-05-15
.............\.......\....\60Ar_v700.mat,40272,2003-05-15
.............\.......\....\i100.DAT,59685,2001-08-06
.............\.......\....\i1000.DAT,59770,2001-08-06
.............\.......\....\i1500.DAT,59721,2001-08-06
.............\.......\....\i400.DAT,59620,2001-08-06
.............\.......\....\i700.DAT,59704,2001-08-06
.............\.......\....\save_datafile.m,181,2003-05-19
.............\.......\....\v100.DAT,62560,2001-08-06
.............\.......\....\v1000.DAT,64868,2001-08-06
.............\.......\....\v1500.DAT,63503,2001-08-06
.............\.......\....\v400.DAT,62514,2001-08-06
.............\.......\....\v700.DAT,64897,2001-08-06
.............\.......\Cmp files
.............\.......\.........\Ar_I_MO12.cmp,213520,2003-05-28
.............\.......\.........\Ar_I_MO14.cmp,213520,2003-05-28
.............\.......\.........\Ar_I_MO18.cmp,213600,2003-05-19
.............\.......\.........\Ar_I_MO22.cmp,213600,2003-05-28
.............\.......\.........\Ar_I_saddle.cmp,213520,2003-05-28
.............\performprony.fig,105440,2003-07-06
.............\performprony.m,46371,2003-07-06
.............\perform_resultslist.m,667,2003-07-04
.............\preparecomparedata.m,980,2003-05-14
.............\prepare_comparelist.m,1916,2003-05-14
.............\prepare_savedata.m,2258,2003-05-14
.............\pronyanalysistool.fig,81704,2003-06-04
.............\pronyanalysistool.m,26127,2003-07-06
.............\pronytool.fig,11288,2003-07-22
.............\pronytool.m,3761,2003-07-06
.............\pronytoolbar.m,1265,2003-02-19
.............\pronytoolhelp.html,3036,2003-07-06
.............\references.html,6091,2003-07-06
.............\remove_mean.m,1603,2003-05-16
.............\windowing_data.m,546,2003-05-14

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    This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )
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    积分：1
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