between-newnetworks

文件包含现代控制理论中的一些控制程序，可供初期学习者使用，这些都是matlab中所没有的程序。(File contains a number of modern control theory control procedures for early learners, these are programs that are not in matlab.)

说明：  蒙特卡洛，标准历史模拟法计算MATLAB编程计算股票VaR(Monte Carlo, standard historical simulation method to calculate VaR)

iso14443标准part1和part2的中文版本（仅是部分内容的翻译），供大家参考。(ISO14443 standard part1 and part2 of the Chinese version (only part of the contents of the translation), for your reference.)

说明：  最优化方法: 共轭方向法 matlab源代码 需要改变原函数及其梯度(Optimization: Conjugate Method need to change the original function and its gradient)

本算法程序基于实测汽轮机振动信号进行了测试及性能分析。理论分析及仿真结果表明，AR模型谱估计算法在阶次合适的情况下，能够取得较好的方差及分辨力性能，适合于振动信号的功率谱估计，且AIC准则为确定合理的模型阶次提供了有效依据。(This algorithm based on the measured turbine vibration signal testing and performance analysis. Theoretical analysis and simulation results show that, AR model spectrum estimation algorithm in appropriate circumstances the order, the variance can achieve better performance and resolution, suitable for vibration signal power spectrum estimation, and the AIC criterion to determine a reasonable model order provides an effective basis.)

差分进化算法求解约束优化问题，JADE算法求解，性能优于其他算法(Differential evolution algorithm for solving constrained optimization problems)

This Matlab script file explainns the BPSK scheme in rayleigh channel.

这个程序是二次拟合和等维新陈代谢改进预测程序(This program is so fitting and maintenance of secondary metabolism improved prediction program)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

matlab program for EMG