FDTD

说明：  主要介绍一种滤波器的实现及其方法，维纳滤波器是声音去噪中应用较多的一种！(Describes the realization of a filter and method, Wiener filter is the sound of a denoising application of more!)

快速ICA算法原理及MATLAB程序实现(Fast ICA algorithm and MATLAB program)

永磁同步电机恒压恒频matlab仿真模型，仿真效果很好(matlab pmsm VVVF simulink)

说明：  MATLAB5.3精要、编程及高级应用 MATLAB适于工程计算、绘图、算法处理(MATLAB5.3 essence, MATLAB programming and advanced applications suitable for engineering calculations, drawings, algorithms deal with)

瑞利信道下四节点单中继网络中采用分层调制的误码率(the BER of hierarchical modulation in four node one rayleign networks in ralyleign fading channel )

Debye级数展开模型，计算均匀球形粒子散射角——散射光强曲线： 1. RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. DebyeIntensity.m Debye级数展开模型画均匀球形粒子散射角-光强图 (Debye series expansion model to calculate the uniform spherical particles scattering angle- scattering intensity curve: 1. RB1.m calculated first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. DebyeIntensity.m Debye series expansion model painted uniform spherical particles scattering angle- light intensity diagram)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

使用matlab来比较4种不同的编码的性能。环境是BEC（删除信道）。 信号串的长度为2000(Use matlab to compare the performance of four different codes. Environment is the BEC (binary erasure channel). Length of the signal sequence is 2000)

一类非线性的不确定性系统的自适应鲁棒控制,(adaptive robust control for a class of uncertain nonlinear system)

基于matlab的随机数的生成，包括其他调用的函数，(Random number generation based on MATLAB, including other call function )