基于小波变换的心电信号的警示。

常用的小波变换、傅立叶变换、离散余弦变换、图像旋转、平移、缩放类模块，用户只需运行时只需调用相应的模块，这是我从我们开发的系统中剥离出来的类模块，供大家使用，希望大家能喜欢！-commonly used wavelet transform, Fourier transform, discrete cosine transform, image rotation, translation, scaling type module, users can run only when the corresponding module called, this is my from our development of the system spin-off from the class module for everyone to use, I hope you will like!

图像小波变换，可实现1，2，3层小波，图像增强，融合等，功能相当强大-Image wavelet transform, can be realized 1,2,3 layer wavelet, image enhancement, integration, functions quite powerful

自适应反离散小波变换，能达到很好的小波变化结果-Adaptive inverse discrete wavelet transform, wavelet transform can achieve very good results

小波算法vc实现2-wavelet algorithm to achieve two vc

这是自己编的一个用于检验形心的代码，希望对大家有用，欢迎下载-This is an own centroid for testing code, I hope useful for all of us are welcome to download

计算小波变换的Mallat算法需要逐级分解和重构，而本文通过矩阵变换方法，给出不需逐级计算的小波分解和重构矩阵的构造方法，并给出9/7小波的分解和重构矩阵的基向量及波形图。-Calculation of the Mallat algorithm of wavelet transform decomposition and reconstruction needs level, and this article through the matrix transformation method of calculation without level wavelet decomposition and reconstruction of the structure matrix method of 9/7 wavelet decomposition and re- conformation of the base matrix and the wave vector.

％ File: Jakes_filter.m ％ Software given here is to accompany the textbook: W.H. Tranter, ％ K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of ％ Communication Systems Simulation with Wireless Applications, ％ Prentice Hall PTR, 2004.- File: Jakes_filter.m Software given here is to accompany the textbook: WH Tranter, KS Shanmugan, TS Rappaport, and KS Kosbar, Principles of Communication Systems Simulation with Wireless Applications, Prentice Hall PTR, 2004.

用一维小波变换进行图像去噪处理，有较低的计算复杂度，提高效率和计算速度。-Victoria with a wavelet transform image denoising, lower computational complexity, increase efficiency and speed.

一个用于数字图像压缩的小波变换实现源程序-a digital image compression used in the wavelet transform source

vc写的实现小波处理，滤波，复原，融合等源程序-vc wrote realize wavelet processing, filtering, restoration, integration, such as source