MATLAB-command

一本描述声音信号处理的书，包括matlab的仿真过程(It s very good to descript on the signal processing including the step working on Matlab)

在文章A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data中加入了核估计算法(the modified code of A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data)

控制分配 用于航天执行器的控制分配，希望对大家有用(control allocation)

有限干扰下的单向中继选择；基于多种选择策略 有篇比较好的paper 还有就是仿真的程序 test4是最后两个图的 有点小问题 (Limited interference unidirectional relay selection strategy papers based on multiple choice paper there is a better simulation program test4 last two graphs is a little problem)

RBF neural network with an example

power flow analysis

最新推出的无线射频芯片，可用软件编程实现信道的选择，空旷地带最远1000米。(The latest to release of rfid chip, usable software programming realization channel choice, open field furthest 1000 meters. )

cet algorithme est ecrit en matlab

对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割，针对传统的K均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定K值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定K值的大小，且比传统的K均值算法减少了运算量及计算时间。 (On the circuit board image segmentation, to extract the target board to the circuit board for testing. Article using the K means clustering algorithm to complete the circuit board image segmentation, the traditional K-means clustering algorithm, the paper proposes the effective use of histogram peak wave number of K values to determine the size, and by using a ratio of absolute error of the traditional expression that is more concise, to the fast segmentation. For some circuit board image segmentation results show that the method can be according to the article the number of valid target value to determine the size K, and K-means algorithm than the traditional reduced computation and computing time.)

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)