matlab-programming

经典AR模型系数求解，burg法.根据原理手编，希望对大家有帮助。(the method of burg to get the coefficients of AR model)

这里是初学者在学习使用MATLAB过程中会经常遇到的问题。(Here are a beginner in learning to use MATLAB process will often encounter problems.)

K均值聚类的一个实例，附上.dat文件和程序以及运行结果，和大家一起讨论，呵呵(K means clustering of an example, attached. Dat files and programs, and operating results, and we can discuss, Oh)

this source code is sarekari

编写的MATLAB混合基4*5程序，运行通过(Written in MATLAB mixed base 4* 5 program, run by)

it is a very good example for OFDM which has tow CP removal Technic.

it is rar file containinig codes

利用基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM(The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance to SVM)

自适应滤波器的实现：包括信号的产生,最优系数的求解等等。(The implementation of adaptive filter, including the signal generation. solve the optimal coefficients and so on.)

principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called eigenfaces, which can be considered as points in a linear subspace called “face space” or “eigenspace”