这是小波变换的好多算法，有需要的，可以参考

这是小波变换的matlab程序，一维二维的情况下都有-This is the wavelet transform matlab procedures, one-dimensional two-dimensional case have

正交变换，包括离散余玄转换，快速浮离叶变换，小波变换等。-orthogonal transformation, including discrete Yuxuan conversion, floating from the fast Fourier transform, wavelet.

用来分析信号频分量，对信号进行分解。可用于图像、的分解和重构。-Used to analyze the frequency component signal, the signal decomposition. Can be used for images, the decomposition and reconstruction.

haar wavelet source code implemented by matlab

静态切分窗口的曲线y=ax*x+10*x+10图，根据a在[-10，10]区间变化时，曲线随着变化-static window splitting the curve y = ax 10* x* x 10 maps, in accordance with a [-10, 10] interval changes, in keeping with the changing curve

本书的目的主要是向读者展示傅里叶分析和小波的许多基础知识以及在信号分析方面的应用。全书分为8章和2个附录，前言部分是学习第1章至第7章的准备知识，即内积空间；第1章讲解傅里叶系列的基础知识；第2章讲解傅里叶变换；第3章介绍离散傅里叶变换以及快速傅里叶变换；第4章至第7章讨论小波，重点在于正交小波的构建；附录部分则介绍稍微复杂的一些技术主题以及演示概念或产生图形的MATLAB代码。许多关于小波的文章和参考书籍均要求读者具有复杂的数学背景知识，本书则只要求学生具有较好的微积分以及线性代数知识，通俗易懂，是数学、计算机、电子、通信、地质、医学、机械等专业高年级本科生及研究生的基础教科书，也可作为相关技术人员的参考书。-The main purpose of this book is to show readers Fourier and wavelet analysis of many of the basic knowledge as well as in signal analysis applications. The topics are divided into eight chapters and two appendices, is to learn from the preamble of Chapter 1 to Chapter 7 of the preparation of knowledge, that is, inner product space Chapter 1 on the basis of Fourier series of knowledge Chapter 2 on Fourier Transform Chapter 3 introduced the Discrete Fourier Transform and Fast Fourier Transform Chapter 4 to Chapter 7 to discuss wavelet, with emphasis on construction of orthogonal wavelet appendix describes slightly complex themes, as well as a number of technical concepts or pr

基于dft的水印代码，水印注入、提取、防攻击测试-DFT-based watermarking code, watermark injection, extraction, anti-attack test

小波分解在图像放大缩小中的应用-wavelet decomposition in Image Zooming Application

提供两种常用滤波方法的VC源程序，已经运行通过。-offers two commonly used methods of filtering source VC has been running through.

语音处理软件， GUI 界面，本人原创，频域，时域，可以看波形，WINDOW FUNCTION， 录音，-Voice-processing software, GUI interface, I created, the frequency domain, time domain, you can look waveform, WINDOW FUNCTION, recording,