文件名称:private-100212
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介绍说明－－下载内容均来自于网络，请自行研究使用
matlab写的稀疏表示工具箱，里面包含许多相关函数，使用方便-matlab write the sparse representation Toolbox, which contains a number of related functions, easy to use
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下载文件列表
private-svg
...........\.DS_Store
...........\audio_processing
...........\................\exo1.m
...........\................\exo2.m
...........\................\exo3.m
...........\................\exo4.m
...........\audio_separation
...........\................\exo1.m
...........\................\exo2.m
...........\................\exo3.m
...........\................\exo4.m
...........\coding_approximation
...........\....................\exo1.m
...........\....................\exo10.m
...........\....................\exo11.m
...........\....................\exo2.m
...........\....................\exo3.m
...........\....................\exo4.m
...........\....................\exo5.m
...........\....................\exo6.m
...........\....................\exo7.m
...........\....................\exo8.m
...........\....................\exo9.m
...........\coding_entropic
...........\...............\exo1.m
...........\...............\exo2.m
...........\...............\exo3.m
...........\...............\exo4.m
...........\coding_natural_images
...........\.....................\exo1.m
...........\coding_wavelet_compression
...........\..........................\exo1.m
...........\..........................\exo2.m
...........\..........................\exo3.m
...........\..........................\exo4.m
...........\..........................\exo5.m
...........\..........................\exo6.m
...........\..........................\exo7.m
...........\..........................\exo8.m
...........\cs_fourier
...........\..........\exo1.m
...........\..........\exo2.m
...........\..........\exo3.m
...........\cs_sparse_signal
...........\................\exo1.m
...........\................\exo2.m
...........\................\exo3.m
...........\denoising_advanced
...........\denoising_block
...........\...............\exo1.m
...........\...............\exo2.m
...........\...............\exo3.m
...........\denoising_data_dependent
...........\........................\exo1.m
...........\........................\exo2.m
...........\........................\exo3.m
...........\........................\exo4.m
...........\........................\exo5.m
...........\........................\exo6.m
...........\........................\exo7.m
...........\........................\exo8.m
...........\denoising_linear
...........\................\exo1.m
...........\................\exo2.m
...........\denoising_median
...........\................\exo1.m
...........\................\exo2.m
...........\................\exo3.m
...........\................\exo4.m
...........\................\exo5.m
...........\................\exo6.m
...........\denoising_nl_means
...........\..................\exo1.m
...........\..................\exo2.m
...........\..................\exo3.m
...........\..................\exo4.m
...........\..................\exo5.m
...........\denoising_noise_model
...........\denoising_noise_models
...........\......................\exo1.m
...........\......................\exo2.m
...........\denoising_variational
...........\.....................\exo1.m
...........\.....................\exo2.m
...........\.....................\exo3.m
...........\.....................\exo4.m
...........\.....................\exo5.m
...........\.....................\exo6.m
...........\.....................\exo7.m
...........\denoising_wavelet_1d
...........\....................\exo1.m
...........\....................\exo2.m
...........\....................\exo3.m
...........\....................\exo4.m
...........\denoising_wavelet_2d
...........\....................\exo1.m
...........\....................\exo2.m
...........\....................\exo3.m
...........\....................\exo4.m