frwt_8876

说明：  主要针对道路提取程序，使用二值法和形态法(Road extraction procedures, using binary and morphological methods)

心电信号的预处理。高通滤波器，低通滤波器，50Hz带阻滤波器。(The preprocessing of the ECG signal. High-pass filter, low pass filter, 50Hz band-stop filter....)

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)

分别用Pisarenko谐波估计法、MUSIC算法和ESPRIT算法对三正弦叠加高斯白噪声信号源进行频率估计，附件中有代码说明，编译环境为matlab。(Respectively Pisarenko harmonic estimation, MUSIC algorithm and the ESPRIT algorithm superimposed on the three sine Gaussian white noise signal source for frequency estimation, in the annex to the code description, the compiler environment matlab.)

计算第二代harr小波变换或者说是整数提升小波变换的源代码(Calculation of second-generation or harr wavelet transform is an integer lifting wavelet transform of the source code)

Tetrolet变换的原代码，一种稀疏表示的小波变换，由haar变换改进得到(Tetrolet transform the original code, a sparse representation of the wavelet transform, haar transform improved)

说明：  用于求取小波包变换后小波系数的熵值，对初学者很有帮助(Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners)

使用傅里叶变换和小波变换提取心电信号中的呼吸信号(Using the Fourier transform and the wavelet transform to extract the breathing signal ECG)

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)

小波十讲中文、切边优化版本，适合直接在kindle阅读(<Ten Lectures on Wavelets>)