Numerical-Methods-Using-MATLAB

在matlab环境下编写的非线性控制工具箱,希望对大家有用(Written in the matlab environment, nonlinear control toolbox, we hope to be useful)

this file can be used to calculate the entropy of english language.

adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件(adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated)

对单点水位进行任意长度、时间间隔的调和分析，得到潮位、潮流的调和常数，以及根据现有的调和常数进行预报等功能。(The harmonics of arbitrary length and time interval are analyzed for the single point of water level, and the harmonic constant of tide level and tidal current is obtained, and the function of forecasting is made according to the existing harmonic constant.)

一个matlab实现bp的源文件，也许各位用得上，请大家多多指教(Bp realize a matlab source files, perhaps you useful, please everyone exhibitions)

说明：  《MATLAB 7.0 从入门到精通》一书的完整光盘源代码。(&quot MATLAB 7.0 from the entry to the master&quot of a book on CD-ROM source code integrity.)

matlab潮流程序，IEEE系统详细数据及其他相关程序，很好的资料(power flow program)

在MIMO系统中的二乘二系统的模型代码，以及性能分析。(In the MIMO system model二乘II system code, as well as performance analysis.)

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

BAMIC是一种multi-instance聚类的算法。(BAMIC is a package for multi-instance clustering. This package includes the MATLAB implementation of BAMIC, which is designed to deal with unsupervised multi-label learning problems. It is particularly useful when real-world objects are represented under multi-instance setting while the labels of these objects are unknown. )