knn_self

维纳滤波器实现中值滤波，该程序是用matlab源代码来实现的。(Wiener filter realization of median filtering, the program source code with matlab achieved.)

心电信号去基线漂移，使用小波分解法提取基漂信号，还有小波包去噪(ECG baseline removal, and wavelet packet de-noising)

非常详细的MUSIC谱估计程序，自己写的，毕业设计，保证结果正确且可以运行。有非常详细的注释，每句话都有注解，简明易懂，保证可以看懂并学到知识，并且每一步与MUSIC算法详细的对应和算法解释，不管是学习程序还是学习算法都很有帮助，.m文件中是程序的一部分，全部代码在WORD中，肯定是你见过的最好的代码(MUSIC spectrum estimation very detailed procedures for their own writing, graduation, there are very detailed notes, every word has a comment, simple to understand, to ensure you can read and acquire knowledge, and every step of the MUSIC algorithm and the corresponding detailed and algorithm explanation, whether the learning process or learning algorithms are very helpful)

论文分析了合成孔径雷达图像迭代滤波处理的效果及其问题，结合统计滤波方法和小波分析方法，提出了一种基于细节补偿的MAP迭代滤波算法。实验结果表明，新的迭代滤波算法较好地解决了去噪和细节保留之间的矛盾，而且算法稳定，收敛很快。(This paper analyzes the iterative synthetic aperture radar image filtering effect and its problems, combined with statistical filtering methods and wavelet analysis method, details of compensation, a MAP based iterative filtering algorithm. Experimental results show that the new iterative filtering algorithm can solve the denoising and detail preservation conflicts between, and the algorithm is stable and fast convergence.)

《图像配准技术及其MATLAB编程实现》电子书籍(the e-book of《Image Registration and MATLAB programming》)

MATLAB 视频教程2 适合初学者，帮你从零开始学起(MATLAB Video Tutorial 2 for beginners, to help you learn starting from scratch)

说明：  介绍MATLAB使用的相关知识和技巧，对入门者比较有用。(MATLAB introduce the use of relevant knowledge and skills useful for beginners comparison.)

利用单元平均CFAR门限以及单元平均选大CFAR来实现信号的频谱搜索(Using cell average CFAR threshold and average unit chosen CFAR to realize the signal spectrum search )

经过调试的平稳随机信号的AR模型，有助于新手理解(AR model of random signals, contribute to understanding of greenhand)

RETINEX_FRANKLE_McCANN: Computes the raw Retinex output from an intensity image, based on the original model described in: Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging" US Patent #4,384,336, May 17, 1983( RETINEX_FRANKLE_McCANN: Computes the raw Retinex output from an intensity image, based on the original model described in: Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging" US Patent#4,384,336, May 17, 1983)