waveletentropy

这篇关于从心电信号提取呼吸信号的调查，一共介绍了三种方法，即：频率提取，滤波器滤波，小波变换，三种方法。(This extract on the respiratory signal from ECG investigation, presented a total of three methods, namely: the frequency extraction filter filtering, wavelet transform, three ways.)

用MATLAB编写的利用小波变换对多聚焦图像的融合。(The fusion of multi focus images with wavelet transform is written in MATLAB.)

< VISUAL C++ 小波变换技术与工程实践>>书中所附程序:小波变换在视频编码压缩中的应用(<VISUAL C++ Wavelet transform technology and engineering practice of>> the book accompanying procedures: Application of wavelet transform in video coding compression)

心电图(ECG)是临床上诊断心血管疾病的重要方法。 数字滤波作为数字信号处理技术的重要组成部分，广泛应用于诸如信号分离、恢复、整形等多种场合中。为了使信号不失真及在可编程逻辑器件中容易实现，采用具有严格线性相位特性的FIR滤波器进行低通滤波（0-150Hz），用整系数梳状滤波器来去工频干扰及基线漂移,从而达到对心电信号进行预处理的目的。(Electrocardiogram (ECG) is an important method for clinical diagnosis of cardiovascular diseases. As an important part of digital signal processing technology, digital filtering is widely applied to many occasions, such as signal separation, recovery, shaping and so on. In order to make the signal undistorted and easy to be realized in programmable logic device, the FIR filter with strict linear phase characteristics is used for low pass filtering (0-150Hz), and the entire coefficient comb filter is used to get the interference of the power frequency and the baseline drift, thus the purpose of preprocessing the ECG signal is achieved.)

运行emd,得到输入信号X的固有模态函数（imf），每列代表着信号X的一阶分量，X就是我们采集的信号。 hhtdn是hht去噪的程序，可以不看，仅看emd 和 findpeaks wvtdn是wavelet去噪程序，如果只是分解信号，仅用下面的语句即可 [C,L] = wavedec(x_noise,dl,wn); x_noise就是我们采集的信号，dl是分解的阶数，wn是分解的母小波名称(% Empiricial Mode Decomposition (Hilbert-Huang Transform) % imf = emd(x) % Func : findpeaks)

基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)

说明：  利用小波变换将不同分辨率的图像进行小波分解，将高频和低频系数分别处理融合，进行小波重构。(Image fusion with different resolutions based on wavelet transform.)

图像的5/3小波变换的matlab代码。程序简短，易懂。(Image 5/3 wavelet transform matlab code. Program brief and easy to understand.)

说明：  针对不同采样频率和输入信噪比的心磁信号进行滤波操作，呈现出对同一输入信号采取不同滤波算法的去噪结果。(The filtering operation is performed on the magnetic heart signals of different sampling frequencies and input signal-to-noise ratios, showing the denoising results of different filtering algorithms for the same input signal.)

关于小波包变化的，特征提取的一些程序，可直接运行成功。(Wavelet packet feature extraction)