gaussFit

pn gold code for spread spectrum

matlab实现验证采样定理的仿真程序，附有仿真结果图(verification sampling theorem Matlab simulation program, with the simulation results Figure)

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

Matlab-based optimal excitation control system design，可以使励磁系统优化(Matlab-based optimal excitation control system design)

欧拉法与改进的欧拉法整体截断误差的阶 右端函数可自行更改(euler/Modified Euler method error)

This program is used to do optimisation for multidimension system, SIMPLEX method for multidimensional unconstrained non-linear optimsiation (This program is used to do optimisation for multidimension system, SIMPLEX method for multidimensional unconstrained non-linear optimsiation)

coding for progressive switching median filter

说明：  所建立的无刷直流电动机系统的Simulink仿真模型图，功能模块包括：逆变器模块、电源模块、换相逻辑模块、PWM信号产生模块、电动机本体模块、转速测量模块和磁极位置测量模块。(Established by the brushless DC motor system in Simulink simulation model diagram, function modules include: inverter module, power modules, logic modules for phase, PWM signal generation module, motor ontology modules, speed measurement modules, and pole position measurement module.)

说明：  分析了NIENNA整流器在不同输入电流建立了NIENNA整流器在电网不平衡条件下及不平衡条件下的数学模型，研究了基于有限集模型预测控制的VIENNA整流器。(The mathematical model of the NIENNA rectifier under different input currents and the unbalanced conditions of the power grid are analyzed. The VIENNA rectifier based on finite set model predictive control is analyzed.)

基于LPP的人脸识别程序，用matlab编程，实现训练，测试，识别等功能(Face recognition based on LPP program，Using MATLAB programming, training, testing, identification and other functions)