lift97mlhard

说明：  关于小波包分析的图像绘制，小波分析，三次分解，单支重构 故障信号(Image registration algorithms based on piecewise linear interpolators (spatiotemporal gradients or block matching) are analyzed to determine subpixel registration accuracy.)

MATLAB实现kennard-stone选样本算法 (MATLAB kennard- stone selected sample algorithm)

基础应用基于小波变换阈值去噪的MATLAB源代码（包含小波包去噪程序）(Based on the application based on wavelet transform threshold denoising MATLAB source code (including the wavelet packet denoising procedures ))

用于产生各种多小波滤波器系数的程序，包括Cl2小波，GHM多小波等等，很好用(Used to produce a variety of multi-wavelet filter coefficients procedures, including Cl2 wavelet, GHM multiwavelet and so on, very good use)

提升小波变换程序， %LWT Lifting wavelet decomposition 1-D. % LWT performs a 1-D lifting wavelet decomposition % with respect to a particular lifted wavelet that you specify.(lifting wavelet transform procedures% Local Walsh Transform Lifting wavelet decomposition 1-D. % Local Walsh Transform performs a 1-D lifting wavelet decomposition% with respect to a particular lifted wavelet that you specify.)

求冲激函数、阶跃函数及三角函数的小波变换、模极大线并求它们的李氏指数(Demand impulse function, step function and the trigonometric functions of the wavelet transform modulus maxima line and ask them Lipschitz)

说明：  Curvelet变换是由一种特殊的滤波过程和多尺度脊波变换组合而成：本程序对彩色图像进行了curvelet变换从而实现图像去噪的效果。首先对图像进行子带分解；然后对不同尺度的子带图像采用不同大小的分块；最后对每个分块进行Ridgelet分析。(Curvelet transform is a combination of a special filtering process and multi-scale ridgelet transform. In this program, curvelet transform is applied to color image to achieve the effect of image denoising. First, the image is decomposed into sub-band; then the sub-band images of different scales are divided into different sizes; finally, each sub-band image is analyzed by ridgelet.)

contourlet图像融合的matlab源代码，很有用，毕业设计的参考(contourlet image fusion matlab source code, useful, graduated from the reference)

对信号进行小波去噪再重构，针对不同分解层次的高频系数，采用分层阈值方式来量化高频系数。(Signal is carried out the wavelet denoising again reconstructed to quantify high-frequency coefficients, high-frequency coefficients for different levels of decomposition, hierarchical threshold.)

利用小波变换实现和直方图均衡化相对比的图像的增强与分割.应该比较有用.分割也采取了几种技术的对比(using wavelet transform and histogram equalization relative ratio of image enhancement and segmentation. Be more useful. Pm cutting has taken several technical contrast)