svd_dwt

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)

说明：  实现k-l变换，代码短，效率高，适合初学者进行上机练习，原理简单，比较容易懂和实现。(Achieve kl transformation, the code short, high efficiency, suitable for beginners to practice on the machine, simple in principle, relatively easy to understand and achieve.)

Wavelet Neural networks

利用小波变换进行改进阈值信号去噪 (Improvement threshold signal denoising using wavelet transform)

小波变换、EMD以及EMD结合小波变换，几种常用的时频去噪方法在脑电预处理中运用的的对比分析，算法过程解释详细，有利于初学者入门学习；小波变换、EMD以及EMD结合小波变换，几种常用的时频去噪方法在脑电预处理中运用的的对比分析，算法过程解释详细，有利于初学者入门学习

Multiscale Curvature-Based Shape Representation Using B-Spline Wavelets

二进小波和非线性变换的图像增强项目 二进小波和非线性变换的图像增强项目(Image enhancement project based on two in wavelet and nonlinear transform)

一种基于改进谱减法的语音去噪新方法，对于想学习谱减法的同学有很大的帮助(A kind of based on improved spectral subtraction speech denoising, a new method to want to learn the spectral subtraction classmates have a lot of help )

说明：  小波变换算法的C语言实现，包括DWT,INDWT,提升小波，以及小波去噪的MATLAB源代码(wavelet transform algorithm in C language, including DWT, INDWT upgrade wavelet Wavelet denoising and MATLAB source code)

db53小波的verilog硬件实现源码(Wavelet db53 Verilog hardware source)