erweixiaobobianhuan

这是一个多维小波变换工具箱,列举了很多的实例.(This is a multi-dimensional wavelet transform toolbox, cited many examples.)

线调频小波路径追踪算法的程序，对研究瞬时频率估计有很大的参考价值。(Chirplet path tracing algorithm of the program, the study of instantaneous frequency is estimated that there is a great reference value.)

利用小波变换实现表面肌电信号消噪的程序，还包括一些对比分析。(Wavelet transform SEMG denoising procedures, including some comparative analysis.)

具有提升分解结构的整数离散变换，可用于基于提升格式的小波变换设计。(Enhance the breakdown structure of the integers with the discrete transform can be used for wavelet transform based on lifting scheme design.)

《小波十讲（修订版）》主要内容简介：原书《小波十讲》（ten lectures on wavelets）是一本世界范围公认的经典学术名著，是当代数学著作中一本影响巨大的绝妙好书。(text book for wavelet analysis)

小波包分析提取振动信号中的特征频率，以及能量谱分析计算-(wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis )

自己编写的αβγ滤波器工具函数，能够实现其滤波和平滑功能(Αβγ filter tool to write your own functions to achieve its filtering and smoothing function)

利用小波变换模极大值方法进行信号检测的实验,很容易的检测出突变点(Wavelet transform modulus maxima method of signal detection experiments, it is easy to detect mutations)

Savitzky-Golay滤波是一种工程应用数据处理中高效的滤波方法，能同时得到平滑后的数据和数据梯度。(Savitzky-Golay filter is an efficient filtering method in engineering application data processing, which can simultaneously obtain the smoothed data and data gradient.)

说明：  2.1 傅里叶变换 2.1.1 经典傅里叶变换 2.1.2 傅里叶变换的基本性质 2.1.3 快速傅里叶变换 2.1.4 短时傅里叶变换 2.2 小波分析与多分辨率分析的历史 2.3 小波分析与傅里叶变换的对比 2.4 小波变换 2.4.1 连续小波变换 2.4.2 离散小波变换 2.4.3 高维小波连续变换 2.5 常用小波基函数 2.5.1 小波函数 2.5.2 小波函数系 2.5.3 复数小波 2.6 构造紧支撑正常小波基 2.7 多分辨率分析与小波构造 2.8 分析小波包 2.8.1 小波包的定义及性质 2.8.2 分解小波包的空间 2.8.3 小波包算法(2.1 Fourier transform 2.1.1 classical Fourier transform 2.1.2 The basic properties of the Fourier transform 2.1.3 Fast Fourier Transform 2.1.4 short time Fourier transform 2.2 wavelet analysis and multi-resolution analysis of the history of 2.3 Wavelet Analysis and comparison of the Fourier transform 2.4 Wavelet Transform 2.4.1 Continuous Wavelet Transform 2.4.2 Discrete Wavelet Transform 2.4.3 Continuous high-dimensional wavelet transform 2.5 Common wavelet basis function 2.5.1 wavelet function 2.5.2 Department of wavelet function 2.5.3 Complex Wavelet 2.6 Construction of compactly supported wavelets normal More than 2.7 resolution analysis and wavelet construction 2.8 Analysis of Wavelet Packet 2.8.1 Definition and properties of wavelet packet 2.8.2 wavelet packet decomposition space 2.8.3 Wavelet Packet Algorithm)