1从基本的Python脚本7。适合初学者的简单脚本。斯洛文尼亚

由于小波变换具有良好的时频分析特性，已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性，如果直接计算小波变换，所需内存较大，耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高，但仍然在实时性上不能满足要求。为了简化计算过程，人们相继设计了一系列的快速算法来计算小波变换，以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in various fields of signal analysis. Wavelet transform algorithm as a result of the complexity, if the direct calculation of wavelet transform, the larger memory requirements, a longer time-consuming. Despite the computational speed of today

本程序实现图像的正交变换，包括傅立叶变换，离散余弦变换，沃尔什变换。-This procedure realize orthogonal transformation images, including Fourier transform, discrete cosine transform, Walsh transform.

It is used to filter the info. using wavelet transform

applies soft-threshold t to all elements of x and computes SURE

用matlab编程进行计算lyapunov指数的程序源码 -using Matlab programming lyapunov index calculation procedures FOSS

这是一组二维小波变换的经典程序，对研究小波的很有用，里边有对应说明-This is a group of two-dimensional wavelet transform of the classical procedures, the study of wavelets useful, inside there is the corresponding description

采用多种小波基的离散小波变换源码-Wavelet basis using a variety of discrete wavelet transform source

采用mallat算法进行小波分解/重构的程序，支持一维和二维信号-Mallat algorithm using wavelet decomposition/remodeling process, support one-and two-dimensional signal

完整小波变换类,包括一个头文件,实现文件和一个readme文件-Complete wavelet transform categories, including a header file, files and a readme file

C语言做的基于小波变换的逆零树解码-C language based on the inverse wavelet transform decoding Zerotree