zibianxingtai

本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。(This procedure is the V-BLAST system and its detection algorithm simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection Algorithm for the ML, MMSE, ZF, and the use of zero-forcing successive interference cancellation algorithm.)

feature selection demo

Implementation on "Automatic modulation classification using zero crossing"

粒子群优化算法优化RBF神经网络程序，可用在模式分类等方面(Particle swarm optimization algorithm optimization RBF neural network program can be used in pattern classification, etc.)

MATLAB具有强大的科学计算功能, 含有大量多目标优化分析函数。依据技术将函数在 环境下进行调用, 进行多目标优化集成系统开发, 实现数据的自动输入和输出功能, 编制了MATLAB与VB的数据接口代码, 提出程序设计时应注意的问题。(MATLAB has a strong scientific computing, contains a lot of multi-objective optimization function. According to the technology will function at Call environment, for the development of integrated system of multi objective optimization, realize automatic data input and output functions, the design of data interface code MATLAB and VB, should pay attention to the questions about programming.)

this gives the basic idea on the placement of capacitor in distribution system.the allocation of capacitor reduces the power losses in the system.

使用蚂蚁算法解决商旅问题(TSP) Matlab GUI 编程(ant algorithm used to solve a traffic problem (TSP) Matlab GUI)

股票指数模拟为几何布朗运动，GBM。 参数有五个： s0，dt（time step），均值，标准差，到期时间T； 利用子函数进行10万条轨道的monte carlo 模拟到期日（3个月）的指数点数，从而估计在买入信号出现后，3个月后的损益情况，主要用来估算VAR (Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM. )

SPEED CONTROL OF DC MOTOR

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)