matlab-13-B

基于Fisher线性判别的基因分类器的设计，里面有源程序(Fisher linear discriminant based on the gene classifier design, which has source code)

对模糊变量进行随机化，并用高斯分布进行概率求解，无密码(pair of fuzzy random variables, and using Gaussian probability distribution solution without passwords)

麦克风语音增强,能偶达到语音增强的效果，通过滤波来实现语音增强(multiple microphone speech enhancement)

svpwm实现，可以看看，有程序流程，算法详解(svpwm achieve, you can see, there is the program flow, the algorithm Detailed)

说明：  this module introduces practical entropy coding techniqes, such as hoffman coding,Run-length coding (RLC) and arithmetic coding

基于数据融合的卡尔曼滤波，对各个各个字传感器的滤波结果进行按矩阵加权融合，的到精确的结果(Based on the data fusion Kalman filter, each word of each sensor filter the results weighted by matrices integration, to the accurate results)

说明：  生成正态性检验及界面,可进行完整的正态性检验(Normal test generation and interface, can be a complete test of normality)

matlab的画图的程序使用，数形结合的重要工具，灵活掌握对于matlab开始的学习很重要。(matlab program to use the Paint, The Combination of the important tools, flexibility of learning for matlab start is important.)

本代码为粒子群基本算法代码，其在建模上面的贡献显著，很大程度上都能够优化建模解决方案。(Particle Swarm Optimization)

KNN k s nearest neighbor algorithm(KNN k' s nearest neighbor algorithm)