Predict_duffing_with_bp

用matlab求多项式的最大公约数函数，这个函数很简捷 (matlab)

本人详细分析后的mimo信道容量的仿真代码，并且加了注释，主要是研究空间相关性对信道容量的影响。(I am after a detailed analysis of the MIMO channel capacity of the simulation code, and added a note is to study spatial correlation of the impact of channel capacity.)

交互式方针工具,研究用于线性盲信道均衡的CMA算法,Matlab程序(The BERGulator is a MATLAB5-based interactive simulation tool aimed at studying the behavior of the Constant Modulus Algorithm (CMA) when used for direct blind linear channel equalization. )

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)

模块多电平升压降压变换器仿真模型，完美运行，各电流电压均正常，可分析谐波(Module multi-level step-up buck converter simulation model, the perfect run, the current and voltage are normal, can be analyzed harmonic)

说明：  关于矩阵的VB代码，实现matlab的相应功能。(VB code on the matrix to achieve the corresponding matlab function.)

it is a z inverter.it use in power systems

用于产生m序列(use in generating m sequence)

很好的东西，仿真用得上。大家下载试试。。。(Good things, the simulation used)

This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs. We also briefl y discuss approaches for reducing the computational cost of IT2 FLSs and the fundamental differences between IT2 and type-1 FLSs.