wavelet_denoise

分别用小波、分形的方法对图像进行去噪，并对这两种方法的结果进行了比较。(Wavelet, respectively, the method of fractal image denoising, and the results of these two methods are compared.)

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)

用小波变换和OMP重构的压缩感知算法来重构lena图像。(CS Algorithm with DWT and OMP。)

基于小波变换的包络分析用于轴承故障诊断的源代码(Bearing envelope analysis)

说明：  双树复数小波变换的Matlab程序的F部分，全部解压到同一个文件夹下后可直接调用函数(Dual-Tree Complex Wavelet Transform Matlab for the F part of the procedure, all extract to the same folder can be a direct call function)

1.实现非抽样提升小波包三层分解 2.有效解决了小波包分解频带交错问题 3.有效输出频谱图(1 non-sampling improved wavelet packet three decomposition. Effective solution to the wavelet packet decomposition band interlacing problems. Effective output spectrogram)

对信号进行小波去噪再重构，针对不同分解层次的高频系数，采用分层阈值方式来量化高频系数。(Signal is carried out the wavelet denoising again reconstructed to quantify high-frequency coefficients, high-frequency coefficients for different levels of decomposition, hierarchical threshold.)

编写MATLAB程序，产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程，产生一条样本函数.测量所产生样本的时间自相关函数，将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring the resulting sample time autocorrelation function, the results will be compared with the theoretical value.)

小波变换光谱数据预处理阈值平滑处理用于光谱数据(xiaobobianhuan yuchuli )

关于小波变换及其应用的一本经典教材，值得学习(A classic textbook on wavelet transform and its application is worth learning)