Chapter8

A Practical Guide for MIMO using Matlab

支持向量回归机的参数选择程序，通过交叉验证选择惩罚参数、损失函数以及核函数(SVM parameter selection procedure)

基于峭度的盲源分离，使用最速下降法，适合初学者(BSS based on kurtosis by gradient)

说明：  用于改进的wilson叶片设计，亲测可行。(wilson design for wind blade)

说明：  Source code for subsampling

这是一本matlab学习的最详尽的书籍，对学习matlab有极大的帮助。(This is a matlab most detailed study of the books, to learn matlab great help.)

k-means分类测试，通过自己建造数据集测试分类方法使用效果(K- means classification test, by building their test data set classification method using effect)

LIVRE_Automatique-Systemes-linaires-non linEAires

Given a time series, the algorithm will test its non-linearity calculating the lyapunov exponent by Jacobi method

说明：  这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space time coding and decoding, based on training symbols such as communication channel estimation module.)