Modern control

小波变换的MATLAB源程序，使用语语音增强，去除噪声效果好，算法实现简单，清晰(MATLAB source wavelet transform, using language speech enhancement, noise removal effect, algorithm is simple and clear)

在国外的好论坛下的，gabor小波变换程序，已测，放心使用，非常好的程序。还有一个gabor的也在我的上载中(Good forum in a foreign country under, gabor wavelet transform procedures, has been measured, ease of use, very good program. There is also a gabor' s also my upload)

Le Gall 5/3 小波变换及其反变换，可用于JPEG2000无损压缩中(Le Gall 5/3 wavelet transform and its inverse transform，which can be used for lossless compression in JPEG2000)

该程序主要是通过小波变换来实现对心音信号的去噪处理(The program is mainly achieved by wavelet denoising of heart sound signals)

双树复小波，比小波变换更加优秀的多尺度变换，具有更好地方向选择性。包含去噪应用(Dual tree complex wavelet transform, multiscale better than wavelet transform, has better selectivity. A denoising method include.)

基本的S变换matlab实现 用于时频分析 为初学者提供基本代码(S transformation for time-frequency analysis to provide basic code for beginners)

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing

详细的基于离散小波变换的图像融合matlab程序,可以用于处理任何格式的灰度图像(Detailed based on discrete wavelet transform image fusion matlab procedures, can be used to deal with any format of the gray image)

这是采用小波变换以及压缩感知的理论编写的图像融合程序(This is the wavelet transform and the theory of compressed sensing image fusion program written in)

基于小波变换的图像拼接。 本程序利用小波变换的原理实现图像的上下，左右以及斜方向的无缝拼接(Wavelet-based image stitching. The procedure to achieve the principle of wavelet transform image from top to bottom, left and right oblique direction and seamless)