psk8_fast_ff_nda_symbol_sync_fast_ff_nda_phase_sy

这是适于初学者掌握matlab深成次开发的一个很好的教学实例，很有参考价值(This is suitable for beginners to master matlab deep into the development of a good time teaching examples, useful reference)

一种电力系统分析工具包，非常实用，包括潮流计算，连续潮流等分析(he PSAT (Power System Analysis Toolbox), simulation model and its analysis steps. The feature, component models, network design of the power system, power flow (PF), continuous power flow (CPF), the small signal stability analysis (SSSA), the simulation of the time domain(TD) and simulation steps of PSAT)

本资料是用matlab模拟单色光衍射的GUI界面，操作方便，便于修改和改变参数(This information is a GUI interface using of matlab simulation monochromatic diffraction, easy to operate, easy to modify and change the parameters)

Numerical solving specifications For grid simulation

在OFDM系统的大环境下，本代码实现了64QAM的调制，载波同步及其误码率计算。(this code realizes the modulation, the carrier synchronization and the bit error rate test)

柱体 TE_TM 波散射 采用的方法为矩量法由于基函数和权函数选取的是相同的，故称为伽略金(Galerkin)法。

以Simulink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真。介绍了模声封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术与实时控制技术。(Simulink as the main tool to introduce a system simulation methods and techniques, including continuous systems, discrete systems, stochastic input system and the simulation of complex systems. Introduce a sound module packaging technology, power system module set, non-linear system design blockset, S-function of the preparation and application, Stateflow finite state machine, virtual reality and other high use of the toolbox, and finally also introduce a semi-physical simulation technology and real-time control technology.)

说明：  BP神经网络 训练 参数设置、调整 运算(BP TRAIN)

文档是关于差分进化的改进的代码，使用正交设计，提高了算法的性能，内有测试函数和测试数据，可直接运行。(Documentation is improved code on differential evolution using orthogonal design and improve the performance of the algorithm, there are test functions and test data, can be run directly.)

基本克里金算法，用于代理模型的参数计算，解决可靠性计算的通用matlab方法(Basic Kriging algorithm. The model is used to calculate the parameters of the agent model and to solve the general matlab method for reliability calculation)