ljung---system-identification-vocabulary

此程序是用二分法求非线性方程在一定精度下的近似解以及迭代次数，这是通用程序(This program is the dichotomy of nonlinear equations in the approximate solution under certain precision and number of iterations, which is a universal program)

说明：  matlab数值计算 实例非常丰富 各种数值基本包含在内。(matlab numerical calculation is very rich in a variety of numerical examples of the basic included.)

实现了AIC（主动干扰消除）算法，并仿真了AIC算法的性能(Realized AIC (active interference cancellation) algorithm and simulated performance of the algorithm AIC)

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 )

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

K nearest neighbor search for matlab

.已知某炉温控制系统，要求温度保持在600℃恒定，针对该控制系统有以下控制经验： （1）若炉温低于600℃，则升压，低的越多升压越高； （2）若炉温高于600℃，则降压，高得越多降压越低； （3）若炉温等于600℃，则保持电压不变。 设模糊控制器为一维控制器，输入语言变量为误差，输出为控制电压。输入输出变量的量化等级为7级，取5个模糊集，试设计隶属度函数误差变化划分表，控制电压变化划分表和模糊控制规则表。 (Known for a temperature control system that requires a constant temperature is maintained at 600 ℃, the following control experience for the control system: (1) If the furnace temperature is below 600 ℃, the step-up, the more the higher the lower the boost (2) if the furnace temperature is higher than 600 ℃, the blood pressure, high blood pressure, the lower the more (3) If the furnace temperature is equal to 600 ℃, then keep the voltage constant. Set of fuzzy controller for one-dimensional controller, input linguistic variables for error, the output control voltage. Input and output variables of quantization levels for seven, take five fuzzy sets, membership function test design error variance divided table, partition table and the control voltage variation fuzzy control rule table.)

Recently, both to return to my old love for evolution and to broaden my research horizon, I have started working on models simulating the dynamics of evolutionary processes. It is becoming clearer and clearer in biology that to understand form,

医学信号处理 设计目的：通过学习心电信号的知识和小波方法，结合学过的医学信号处理理论，实现心电QRS波形检测算法。(Medical signal processing design Objective: Through the study of ECG knowledge and wavelet method, combined with studies of medical signal processing theory, realize QRS ECG waveform detection algorithm.)

100个matlab小程序的集合，适用于初学者学习。(100 matlab small collection of programs for beginners to learn.)