PID-MATLAB

说明：  一个模糊神经网络解耦的MATLAB程序，希望对大家有帮助(A fuzzy neural network decoupling of the MATLAB program, we want to help)

MATLAB神经网络工具箱的介绍 是一篇很好的论文 介绍的很详细 (MATLAB neural network toolbox is a good introduction to the papers described in great detail)

说明：  利用Matlab中的Simulink工具箱仿真。给定三相电源 ，相电压有效值100V。设计一个子系统，利用三相电源给三相全控桥提供一组逻辑触发信号， °（不使用脉冲发生器）。(Using the Simulink toolbox in Matlab simulation. Given three-phase power, RMS voltage of 100V. The design of a subsystem, the use of three-phase power to three-phase full-bridge control logic provides a set of trigger signals, ° (do not use pulse generator).)

介绍了基于MATLAB 的信道编码,主要包括实验操作界面制作以及循环码和卷积码编译码。(Introduced the MATLAB-based channel coding, including experimental production, and user interface code and convolution code decoding cycle.)

An implementation of Lempel Ziv coding for small size files. You can see compression for files if the file is redundant.

这是一个基于量子行为的粒子群算法（QPSO）用于特征选择的matlab程序，用户可以选择目标函数优化方向、种群大小，也可以在内部修改QPSO的参数beta(this is a feature selection program based on quantum_behaved particle swarm optimization of matlab ,the user can chose the object function optimization direction,the scale of the swarm ,also you can revise the parameter beta in the programe )

FCBF算法是基于显著的思想，采用后向顺序搜索策略快速有效地寻找最优特征子集的特征选择方法，它采用对称不确定性作为相关程度度量标准，每次选择一个显著特征并删除它的所有冗余特征。(The FCBF algorithm is based on the significant idea, using the backward sequential search strategy to find the feature selection method quickly and effectively. It uses the symmetric uncertainty as the correlation measure, and selects a significant feature each time and deletes all the redundant features.)

本程序在MATLAB开发环境下，用周期图谱估计的方法对信号的频谱进行了估计，估计结构为两个频率分量。(The procedure developed in the MATLAB environment, with the cycle map estimation method to estimate the signal s spectrum, estimated structure for the two frequency components)

ANFIS control of DC motor

利用matlab、simulink 仿真 实现基带移相键控，并进行误码率分析，而且画出了输入输出两者的波形(Using matlab, simulink simulation of baseband phase-shift keying, and the bit error rate analysis, and draw the waveforms of both input and output)