Wavelet-Neural-networks

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

基于四阶累积量的矩阵方程法子波估计,对研究子波的有一定的帮助(based on the forth cumulantion seismic wavelet estimation)

小波模极大值去噪程序，希望对大家有用哈！(modulus maxima wavelet denoising procedures in the hope that it may be useful for Kazakhstan.)

< VISUAL C++ 小波变换技术与工程实践>>书中所附程序:小波变换在视频编码压缩中的应用(<VISUAL C++ Wavelet transform technology and engineering practice of>> the book accompanying procedures: Application of wavelet transform in video coding compression)

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.)

个人编写的提升格式97小波去噪，采用硬阈值法，三层分解，包括小波变换，去噪，逆变换三步(Written format of 97 individuals to enhance the wavelet denoising using hard threshold method, three decomposition, including wavelet transforms, denoising, inverse transform three-step)

很好的继续教育教材，提升素质必备啊！不可错过！十分的好(Good continuing education materials, enhance the quality of essential ah!)

Second generation wavelets and applications

说明：  基于小波变换阈值去噪的MATLAB源代码（包含小波包去噪程序）(threshold based on wavelet transform Denoising MATLAB source code (including wavelet denoising packet procedure))

this watermarking is implemented using wavelet transform..