Ekf_filter2

This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each cluster replaces the centroid first. If the total distance is not improved substantially, The centroids are each split to two. This goes on untill the required number of clusters is reached and the improvement is not substantial.

基于rls算法的多麦克风降噪matlab程序代码(Matlab code based on the the rls algorithm of multi-microphone noise reduction)

对农产品的销量进行预测，首先是归一化处理，再用LSSVM进行预测(To predict agricultural product sales, the first is normalized, and then LSSVM forecast)

learn how to program

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(clear all clc List0= E:DOA估计仿真 List00=[ 2013-10-31_12_44_31 ] for Li=1:1 List1=strcat(List0,List00(Li,:), Data ) In_p=[List1, ChanData ] 输入数据目录 Out_p=strcat([List1, DataDOA ]) 输出数据目录 NLen=10000 分段长度 M=16 r=15 c=299792458 List=List1(end-19:end-1) 选择目录 if(~exist(Out_p, )) mkdir(Out_p) end )

采用matlab计算心理声学参数，包括响度、粗超度、尖锐度和抖动度。(Psychoacoustic parameters calculated by matlab, including loudness roughness sharpness and fluctuation。)

svdd分类 用matlab实现的svdd算法 挺好用的(Svdd classification svdd algorithm implemented with matlab is very easy to use)

matlab6.5 手册.对于matlab的基本函数有详细的介绍(matlab6.5 manual. matlab for the basic function has a detailed introduction)

eeg extrction signal

使用函数 fourier()可以实现信号 f(t)的傅里叶变换.(The functions of fourier transform.)