2-D-DWT

说明：  利用小波变换去除图像中噪声，对比其他去噪方法(Using Wavelet Transform to Remove Noise from Image)

说明：  有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征(Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation)

图像处理中，有关二维离散小波变换的PPT例程，富有参考价值。(Image processing related to the two-dimensional discrete wavelet transform PPT routines, full of reference value.)

小波包和EMD方法对信号分析后的频谱图比较，可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)

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)

matlab利用小波模极大值法实现信号的奇异性检测(Signal singularity detection in Matlab)

主要仿真风力发电系统下matlab pwm整流及波形分析(Main simulation wind power systems matlab rectifier )

wavelet transform s code with details

说明：  心电信号的处理，包括低通滤波器滤除肌电信号，带陷滤波器抑制工频干扰，以及IIR零相移数字滤波器纠正基线漂移。(ECG signal processing includes low-pass filter to filter EMG signal, band notch filter to suppress power frequency interference, and IIR zero phase shift digital filter to correct baseline drift.)

实现盲源信号的分离，在一个信号源中提取出有用的信号。(Blind source signal separation, in a signal source to extract useful signals.)