小波边缘检测

实现小波包的n层分解与重构,以及简单的输入输出方式(Implementation of wavelet packet decomposition and reconstruction of N layer)

此程序能够实现基于小波变幻的图像的平滑处理。(the program can implement smoothly process of wavelet-based transformed image )

用小波变换去除荧光背景，扣除基线。matlab(Remove fluorescence background, net baseline using wavelet transform. matlab)

本程序应用小波变换进行电力系统的在线监测。电力系统在线监测中的检测信号含有大量的背景噪声，不便于检测。应用小波变换解决这一问题。程序中应用db3小波对信号进行5层分解，并得出了各层的细节信号与逼近信号。(This procedure based on wavelet transform power-line monitoring system. Online monitoring of power system test signal contains a lot of background noise, not easy to detect. Application of wavelet transform to resolve this problem. Application procedures for db3 wavelet signal decomposition layer 5, and arrive at different levels of detail signal and approximation signal.)

说明：  用c++实现小波变换，参考matlab实现(Using C + + to realize wavelet transform, referring to matlab to realize)

基于四阶累积量的矩阵方程法子波估计,对研究子波的有一定的帮助(based on the forth cumulantion seismic wavelet estimation)

matlab的小波变换源代码 可以用来做图像分析，融合 (Matlab wavelet transform source code can be used for image analysis, fusion)

用Fortran编写的小波变换用小程序，可实现简单的小波分析功能(Written in Fortran with a small application of wavelet transform, wavelet analysis can be simple functions)

matlab程序源代码,包括小波分析理论与MATLAB R2007实现所有代码。(matlab program source code, including all code wavelet analysis theory and MATLAB R2007.)

图像小波变换，可以求图像小波分解系数图，阶数可以自己设定(tuxiangxiaobobianhuan)