An-Efficient-Randomized-Algorithm-for-Detecting-C

形态成分析（MCA）用于图像分割与去噪的实验代码(Form into analysis (MCA) for image segmentation and denoising experimental code)

小波变换、EMD以及EMD结合小波变换几种常用的时频去噪方法的对比分析(Wavelet transform, EMD and the EMD of several commonly used wavelet transform time-frequency denoising Comparative Analysis)

可见光与红外图像融合技术的研究 其中多种算法在内(Infrared and visible image fusion research)

《小波分析理论与MATALB R2007 实现》第10章源码(wavelet analysis using matlab)

说明：  曲波变换和去噪，可以进行曲波变换阈值去噪，是很好的去噪入门代码。(Curvelet transform and denoising, can be threshold denoising curvelet transform, is a good denoising entry code.)

说明：  matlab 小波分析源码 小波去噪 仿真分析(matlab source wavelet analysis wavelet denoising simulation analysis)

一篇关于小波变换和希尔伯特变换的文章，处理的是无功功率。小波变换代码和希尔伯特变化代码(A Wavelet transform and Hilbert transform article, dealing with reactive power.Wavelet transform and Hilbert transform code)

说明：  基于二进小波变换的图像小波模极大值检测，以及交替投影法重建(Based on dyadic wavelet transform modulus maxima of wavelet image detection, as well as the alternating projection reconstruction)

根据小波变换和噪声信号地能量分布特性，提出了一种先用小波变换对含噪图像进行多尺度分解，求出各尺度小波变换高频系数地噪声方差和阈值，利用各尺度地阈值对高频系数进行处理，然后利用小波变换系数重构图像，实现图像降噪地方法。(According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods.)

图象增强小波变换将一幅图象分解为大小、位置与方向都不同的分量。在做逆变换之前能改变小波变换域中某些系数的大小，，这样就能够洋选择的放大所感兴趣的分量而减小不需要的分量。给定一个图象信号，用二维小波分析析对图象进行增强处理。 (Image enhancement wavelet transform decomposition size, location and direction of the different components of an image. Wavelet transform domain, some the size of the coefficient can change before doing the inverse transformation, so can the component of interest to the amplification of the ocean choose to reduce the unwanted weight. Given an image signal, the analysis of two-dimensional wavelet analysis of image enhancement processing.)