matlab-GA-not-have-improve

各种matlab滤波函数，对于matlab的初学者来说十分有益。(Various matlab filter function, for matlab' s very useful for beginners.)

gauss seidel program

此例matlab是用cma算法均衡8PSK调制信号，代码清晰无误，仿真图效果很好。(In this case matlab is using the the cma algorithm balanced 8PSK modulation signal, the code is clear and unmistakable, the simulation map works well.)

通过matlab仿真实现香浓限的逼近，并进行比较。(Matlab simulation of the Shannon limit approaching, and for comparison.)

灰色模型 可以用来预测一段时间变量的变化量(The Gray model can be used to predict the amount of change of the period of time variable)

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(This book chapter describes the system integration work MATLAB6.5 platform to guide the reader will be the beginning of the basic usage of MATLAB. Second, the system described in Chapter Four MATLAB6.1 basic data types (numeric arrays, string arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) then open another chapter specifically stated. Since then, the book chapters are described by nine independent MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation software platform to achieve interaction of different API, M-book data in graphical environment for integration of the eight general-purpose language features. This book devoted a chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation capabilities, and the MATLAB int)

这是一个不错的光谱压缩的Matlab程序,希望它能对你有所帮助.(This is a good spectral compression Matlab procedures in the hope that it will be helpful to you.)

自己做matlab与系统仿真时候的matlab代码，仿真弱肉强食系统。(My work for the course of time and system simulation matlab.It is built by matlab code.And it is simulation of jungle systems.)

The basic difference from the variants described above lies on the formation of the second component of the PSO algorithm (related with the personal best solution)

MATLAB CODE FOR SPEECH PROCESSING