3971002xiaobo

一个提升小波变换的matlab工具包。可以实现97，53，haar等系列的提升小波分解与重构。(an upgrade wavelet transform Matlab tool kit. 97,53 can be achieved, haar series of lifting wavelet decomposition and reconstruction.)

在实数域 ,对称、 正交的紧支集非平凡单小波基不存在 ,而多小波把紧支集，对称性、 正交性完美地结合在一起 ,使小波理论从标量扩展到矢量范畴。利用上述特点将多小波变换应用于 SAR 图像压缩。(In the real fields, symmetric, orthogonal set of nontrivial compactly supported wavelet basis does not exist alone, but more than the compact support wavelet, symmetry, orthogonality perfect combination, So wavelets theory extended Dao vector from scalar context. Use of these features will be more than SAR image compression wavelet transform.)

小波变换图像增强程序。以及非线性的处理程序。+MATLAB编译环境(Wavelet transform image enhancement program.And non-linear handlers.+MATLAB compilation environment)

离散小波变换的简单程序，适合初学者学习，附有通用函数。(Simple procedures discrete wavelet transform, suitable for beginners to learn, with common functions.)

谐波小波分析的源代码，应该属于信号处理类的，绝对值得收藏，送给朋友们！(Harmonic wavelet analysis source code, it should be under the category of signal processing, and definitely worth collection, a gift my friends!)

基于多级树集合分裂排序（spiht）的图像压缩算法(Image compression algorithm based on a collection of multi-level tree split-Sort (spiht) of)

小波变换在图像处理中应用于图像分析，图像压缩，图像去噪等。本文就小波变换理论和matlab语言的小波分析工具箱做了简单阐述。(Wavelet transform in image processing applied to image analysis, image compression, image denoising, etc.. In this paper, wavelet transform theory and wavelet analysis matlab language to do the simple toolbox on.)

用MATLAB对一语音信号进行小波分解，然后对其各层系数进行处理以达到小波抑制的目的，重构处理后的信号，画出波形分析；用MATLAB实现对一语音信号用不同小波进行分解，提取各层的高低频系数，画出各系数波形，并重构；用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象；用MATLAB对一语音信号进行小波分解，分别用强阈值，软阈值，默认阈植进行消噪处理。(Wavelet decomposition and reconstruction)

基于小波变换的随机噪声降噪的matlab 主要运用的方法有软阈值去噪法和硬阈值去噪法(Based on wavelet transform matlab random noise and noise reduction methods are mainly used soft thresholding method and hard thresholding method)

说明：  小波变化代码，是比较好的测试向量，包括位平面编码和MQ(Wavelet transform code, is a better test vectors, including the bit plane coding and MQ)