Filter-design

使用MATLAB编程“支持向量机聚类”与 “支持向量机回归”(Support vector machine clustering and support vector machine regression)

这是matlab中常用的快捷键，可以使你使用matlab更顺手。(This is the common shortcut keys of matlab.It can make you use matlab better.)

分组码是一种信道编码，本代码实现分组码的BER性能仿真,BPSK，AWGN信道的情况下。(Block code is a kind of channel coding, the code to achieve the simulation, the performance of BER codes BPSK, AWGN channel case.)

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

Dean 的PLL Performance,Simulation and Design 这本书里3rd 滤波器PLL求解的精确matlab程序(Dean of the PLL Performance, Simulation and Design This book 2nd PLL filter matlab program to solve the)

INS/GPS组合导航,使用卡尔曼滤波，适合学习组合导航的入门(intergrater navigation)

基于形态学方法的图像分割文件，.m的源代码(Based on morphological image segmentation file,. M of the source code)

说明：  产生一种随机序列的方法,其中可以设置多个峰值(Generate a random sequence, which can set up multiple peaks)

Section_4_BD_heterogeneous_MIMO. simulation algorithm in MIMO -OFDM

Matlab implementation of the moment matching and maximum likelihood estimators for the generalized Gaussian density.