NON

capon的程序，这几天写的，用用试试吧(capon is written by me)

numerical code for matlab analytical bisec differentiation F FALSEPOS fixedpoint

matlab unitcommitment code

局部均值分解的MATLAB程序，但是使用有一个问题没有解决，就是分解的时候怎么去除骑行波的问题。(Local mean decomposition MATLAB program, but there is a problem using unresolved, is how to remove the problem of decomposition when riding waves.)

matlab弹奏歌曲生日快乐~ 这里是生日快乐钢琴版~之前编了个生日快乐，是对照网上那个坑爹的最炫民族风编的，效果就像打击乐器（因为只有一个波形）真是不忍心吐槽了。 这个是钢琴完美版的，还带和弦呢！就是用两行不同的旋律同时弹，相当于钢琴用两只爪弹。（喂，你确定那是叫和弦么拍飞） 因为我不会乐器并且五音不全，所有简谱的知识都来自小学音乐课orz，所以或许跑调也…也…… 哼，你要是敢说我跑调，那你到我面前来把这首歌唱一遍来证明你不是跑调的！！一般唱歌都会跑调，编个程跑调又肿么了！跑调才萌嘛 你们喜欢哪首歌也可以把简谱写在指定位置（我在编码中有标注），我把所有的音符的函数都补全了！！现在是所有歌曲无压力！！！ 当然，这个程序不是我全部原创的，是参考了网上已有的程序又改造以及补充了一下。 把下面的代码复制到M文件就可以播放生日快乐了~(matlab playing the song Happy Birthday ~)

改进的分水岭算法.(外国) 先进行滤波开闭等预处理,再用matlab自带函数进行分割.(Improved watershed algorithm (foreign edition)First,use some Pretreatments like open and close to filiter the graph,then use code of MATLAB instrument to oversegmentation.)

使用iwr16xx雷达板进行人体摔倒检测(Fall detection, useTI iwr16xx board)

说明：  实现抗各种攻击的matlab数字水印，尤其是几何攻击，包括剪切、旋转。有嵌入，提取，攻击，检测过程。(realized a new watermarking algorithm which can resist all kinds of attacks.)

knn算法程序，它是一种基于matlab的模式识别算法，用于文本或其他数据样本的分类。(KNN algorithm based on matlab, the pattern recognition algorithm, the use of classification and identification.)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.