Wavelet_OMP

小波阈值去噪的经典程序，基于小波变换阈值去噪的MATLAB源代码，效果很好。 (Classic wavelet threshold denoising procedure threshold denoising based on wavelet transform of MATLAB source code, works well.)

MATLAB实现小波变换经典程序，包括采用多孔trous算法实现小波变换、基于小波消噪的雷达回波检测、小波插值与小波构造、小波滤波器构造和消噪程序、小波谱分析mallat算法经典程序、小波图像重构 Matlab 程序等等(MATLAB wavelet transform classic program, including the use of undecimated wavelet transform algorithm to achieve the wavelet transform, the radar echo detection based on wavelet denoising, wavelet interpolation and wavelet construction, construction and de-noising of the wavelet filter program, a small spectral analysis mallatclassic algorithm procedures, wavelet image reconstruction Matlab programalgorithm)

基于小波变换的图像分析，它是在matlab中运行的(Image analysis based on wavelet transform, which is run in matlab)

contourlet图像融合的matlab源代码，很有用，毕业设计的参考(contourlet image fusion matlab source code, useful, graduated from the reference)

图像小波变换，小波变换（wavelet transform，WT）是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的“时间-频率”窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间（空间）频率的局部化分析，通过伸缩平移运算对信号（函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了Fourier变换的困难问题，成为继Fourier变换以来在科学方法上的重大突破。(Image Wavelet Transform)

时频分析，同步挤压小波变换，一种更精细的时频表示！(Signal time-frequency analysis, synchronous extrusion wavelet transform, a finer time-frequency said!!!!)

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.)

mamatlab二维离散小波变换，应用图像融合(mamatlab two-dimensional discrete wavelet transform, image fusion)

图像的小波去噪,给灰度图像加上一定量的高斯噪声,再采用小波变换的方法去噪,计算去噪前后图像的PSNR。(Wavelet Denoising images to grayscale images coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform denoising calculated before and after denoising images PSNR.)

说明：  直接减压到matlab\work目录下就可以看到运行结果了，其中包括了位平面分解，量化嵌入（提取），图像的金字塔分解等的程序块。(decompression directly to the Matlab \ work on the directory can see the results, which included a bit plane decomposition, quantification embedded (extraction), the image of the pyramid decomposition of the block.)