pcm

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。(This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.)

paper about disturbance observer

Bidirectional associative memory does heteroassociative processing. Here BAM algorithm is implemented.

基于RLS算法的数据预测与MATLAB实现—— 递归最小二乘（RLS)算法是一种典型的数据处理方法，递归最小二乘（RLS)算法在信号自适应滤波分析中广泛应用，递归最小二乘（RLS)算法收敛速度快，且对自相关矩阵特征值的分散性不敏感，然而其计算量较大。(RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method of data processing, recursive least squares (RLS) algorithm is widely used in signal analysis, adaptive filtering, recursive least squares (RLS) algorithm converges fast, and dispersion of autocorrelation matrix eigenvalue insensitive, but its large amount of calculation)

利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现 ga pca bp和svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, and it is very worthwhile to study the data and graphics independently written by oneself, realizing GA PCA BP and SVM compressed image, MATLAB language)

用C++实行数值插值运算并用matlab绘图(With C++ Implement numerical interpolation matlab computing and graphics)

This file include many matlab excercise, you can download and using file .m to examine your matlab s skill. Thanks for see!

Bema analysis by using the finte element method

说明：  系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例(The basic concepts, working principles, and control algorithms of neural network control, fuzzy logic control and model predictive control are systematically discussed, as well as the methods to implement them using MATLAB language, MATLAB toolbox functions and Simulink. The book draws advanced and practical materials, explains profound theories in simple language, each chapter has corresponding example questions, and provides a large number of simulation examples realized by MATLAB/Simulink)

在matlab中的ofdm的编程，包括数据生成，调制，数据传送，频道干扰，解调，数据接收，并且计算误码率，把误码率用图像的形式表现出来。(In the OFDM matlab programming, including data generation, modulation, data transmission, channel interference, demodulation, data receiving, and calculating the BER, the BER image forms.)