多小波分解
代码说明：
说明： 对数据进行多小波分解比传统的经验模态分解效果更好(The multi wavelet decomposition is better than the traditional empirical mode decomposition)
文件列表：
duoxiaobo, 0 , 2019-09-24
duoxiaobo\multiwavelet, 0 , 2013-04-24
duoxiaobo\multiwavelet\birthday.mat, 65728 , 1999-11-17
duoxiaobo\multiwavelet\boats.mat, 65728 , 1999-11-17
duoxiaobo\multiwavelet\camera.mat, 65728 , 1999-11-17
duoxiaobo\multiwavelet\coef.m, 16668 , 2013-04-23
duoxiaobo\multiwavelet\coef_dcov1D.m, 3650 , 2013-04-23
duoxiaobo\multiwavelet\coef_dcov2D.m, 26778 , 2001-11-02
duoxiaobo\multiwavelet\coef_prep.m, 5485 , 2013-04-23
duoxiaobo\multiwavelet\comp_lenna256_bih52sbih5ap_1024.ps, 141420 , 2001-11-04
duoxiaobo\multiwavelet\comp_lenna256_bih52sbih5ap_10240.ps, 141422 , 2001-11-04
duoxiaobo\multiwavelet\comp_lenna256_clclap_1024.ps, 141414 , 2001-11-04
duoxiaobo\multiwavelet\Copyright.txt, 626 , 1998-10-13
duoxiaobo\multiwavelet\dec1D_pe.m, 2560 , 2013-04-23
duoxiaobo\multiwavelet\example1D.m, 6755 , 2013-04-24
duoxiaobo\multiwavelet\keepnlarge.m, 1426 , 2013-04-24
duoxiaobo\multiwavelet\lenna256.mat, 65728 , 1999-11-17
duoxiaobo\multiwavelet\multiplot.m, 1251 , 2013-04-25
duoxiaobo\multiwavelet\postp1D_appe.m, 1514 , 2013-04-24
duoxiaobo\multiwavelet\postp1D_rr.m, 1176 , 2001-11-04
duoxiaobo\multiwavelet\prep1D_appe.m, 1626 , 2001-11-04
duoxiaobo\multiwavelet\prep1D_rr.m, 1337 , 2001-11-04
duoxiaobo\multiwavelet\rec1D_pe.m, 3596 , 2001-11-04
duoxiaobo\multiwavelet\th_my_image_noisy_2.ps, 7022 , 2001-10-31
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