Entropy_Max_2D

基于MATLAB的IIR滤波器相位修正代码，通过级联一个全通滤波器，实现相位修正。(The modified IIR filter by cascading phase, an all pass filter, phase correction.)

基于Simulink的Kalman滤波器仿真实验(The Kalman filter based on Simulink simulation)

灰色模型在matlab中的一个程序代码，可用于预测(Gray model in matlab code can be used to predict)

一，二，三次拟合，并得到R方的检验。输入任何矩阵，得出险要的值。(One, two, three fitting and get R-square test. Enter any matrix derived advantageous values.)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，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，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

这个程序用来对于神经网络负荷预测进行训练(This procedure is used for load forecasting neural network training)

普通PID控制及其扩展算法控制的MATALB仿真程序，内容包含面广．(ordinary PID control algorithm and its expansion of enriching control simulation program, which includes many sectors.)

ARIMA prediction in matlab. Just store inputs in y, and estimate parameters.

标准的卡曼滤波器实现，例子在文档里面有说明。(standard kalman fitler.hope to help you)

性能比较好的LDA人脸识别代码一份，用lda对人脸进行识别(LDA face recognition code with good performance and recognition of human face with LDA)