fir2iir

神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。(4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number.)

The MC-CDMA System Simulation - using MATLAB or C Language(The MC-CDMA System Simulation- using MATL AB or C Language)

介绍MATLAB曲线拟合功能，并通过绘制弯矩图的实际例子说明它在有限元绘图中的应用(Introduction MATLAB curve fitting function, and moment diagram by drawing the actual examples of it in the drawing of the finite element)

Sinus programming For Matlab

在matlab运行环境下 实现霍夫曼编码及霍夫曼译码(Huffman coding matlab implementation)

两路语音信号混合及解混的基于自然梯度的极大似然算法MATLAB仿真程序(Two-way voice signals mixed and mixed solution of the natural gradient-based maximum likelihood algorithm of the MATLAB simulation program)

有关matlab的神经网络源程序，各种例子源程序都有，很好可以做很好的参考(matlab source code)

美国麻省理工的网上matlab课程学习，共分五个章节。(Massachusetts online the Matlab course of study is divided into five chapters.)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

基于matlab的dmc算法改进，m文件编写，计算更加简略，有助于新手学习。(Based on the improved algorithm matlab dmc, m document preparation.)