AR_coatings

ou can use this M-file as a guideline for implementing CRC code generation using the Communications Toolbox functionality. This M-file does not include the error detection process, but you can easily use the process specified below to perform the CRC check:

说明：  MATLAB7.x数字信号处理 电子文档和代码，里面包含雷达信号方面的处理(《MATLAB7.x digital signal processing》 electronic documents and code, which contains radar signal processing)

粒子群算法Rastrgrin实现寻优，利用一具体案例得出寻优结果(Particle swarm optimization algorithm Rastrgrin realized using a specific case optimization results obtained)

信息熵的matlab源代码，用于时间序列的分析(Entropy matlab source code, for time series analysis)

三维的FDTD模拟电磁场仿真程序。采用PML边界。(Three-dimensional FDTD simulation of electromagnetic field simulation program. Using PML boundary.)

An all-optical regeneration scheme for DQPSK and QPSK signals using phase-sensitive amplifiers (PSAs) is studied and its effectiveness is investigated through numerical simulations. By leveraging the ability of PSAs to provide phase and amplitude regenerative amplification, we show significant simultaneous suppression of both phase and amplitude noises of (D)QPSK signals under optimized conditions. The reduction in the phase noise variance of a noise-corrupted DQPSK signal obtained by one such regenerative amplification can be as large as 5.5 folds, showing its good potential for distributed optical regeneration of (D)QPSK signals.  2008 Elsevier B.V. All rights reserved.

In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications.

遗传算法的GA主函数，选择函数，排序函数，交叉函数，变异函数等等(Genetic algorithm is proposed to GA Lord function, choose function, sort function, crossover function, variation functions and so on )

This is modeling of DCmotor and current control with PI controller and speed control with PI controller.

PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swarm algorithm) (optimal value changing) problems. Run PSO_DynamicEnvironment.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)