EM-suanfa-hunhegaosi

光通信中非归零型差分相位调制信号建模与仿真分析(Optical Communication Central African zero differential phase modulated signal-based modeling and simulation analysis)

吉布斯定轨法。 输入：轨道上任意三个点的位矢(R1,R2,R3)； 输出：质点在R2端点时的速度V2；ierr是个判断符号，返回的ierr是零的话，就说明‘R1,R2,R3’共面，如果ierr是1的话说明‘R1,R2,R3’不共面(正常情 况下，要构成轨道的话，‘R1,R2,R3’一定共面 ，即ierr是零，如果ierr是1的话说明输入的‘R1,R2,R3’不共面不能构成轨道。 此函数用于：任意给定三个空间共面的向量，可以确定质点在R2处的速度V2，也就得到了轨道上的一个状态向量(R2,V2),调用前面的函数就可以确定其轨道，及任意时刻的状态。(Gibbs set the track method. Input: track any three points of the bit vector (R1, R2, R3) output: particle at R2 endpoint speed V2, ierr is a judgment symbol, The ierr that is returned is zero, then, it means' of R1, R2,, R3, ' coplanar, if ierr is 1, then description' of R1, R2,, R3, ' not a total surface (under normal circumstances, you want to constitute a track, then,' of R1, R2, R3, ' a certain total surface, ierr is zero, if ierr is an instructions to enter the words ' of R1, R2, R3' coplanarity can not constitute a track. This function is used: for any given three space vector of the surface, can determine the particle at the speed V2, R2 also track a state vector (R2, V2), call the previous function can determine its orbit, and at any time of the state.)

说明：  利用马尔可夫决策过程求解动态规划问题，希望对大家有所帮助了(Using Markov Decision Process to Solve Dynamic Programming Problem, I hope it will be helpful to all of you.)

关于Google Map的源码,用于定位所在的位置，相当实用(The code for Google Map)

基于粒子群算法的PID控制器的设计与研究(Tuning of Digital PID Controller Using Particle Swarm Optimization)

运用蚁群算法求函数最值，采取蚁群迭代。根据函数求出最大值(Ant colony algorithm is used to find the function minimum)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

传热学经典代码，可以使用它做模型分析和优化算法研究(classical CPSO , you can use it to get a good result and analyse heat study)

用Matlab实现LMS算法 画出原始信号和处理后的信号进行对比(LMS algorithm using Matlab to draw to achieve the original signal and processed signal to compare)

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 LmCPhB函数、短时幅度差、倒谱、复倒谱 lnRrOUM系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,LmCPhB function, short-term amplitude difference, cepstrum, cepstral lnRrOUM coefficient meter, etc. , is a program debugging through my years of )