chaosandtheheredityalgorithm

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。 全书包含 390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。(This book chapter describes the system integration MATLAB6.5 work platform, the reader will be the beginning of the basic use of MATLAB. Second, the four chapters, system, MATLAB6.1 basic data types (numeric arrays, strings, arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) are separate sections above. Since then, the book points out with nine separate chapters MATLAB6.5 of numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone applications generated, to achieve interaction of different software platforms API, M-book data, graphical environment for integration of the eight general-purpose language Function. Book with a special chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation, and the MATLAB interactive features. The book contains more than 390)

神经网络PID控制算法的实现，相比于PID，神经网络PID具有更好的控制效果。(Neural network PID control algorithm, compared to PID, PID neural network has better control effect.)

DAC_orignigal 非常实用的程序 对于需要的朋友希望能够帮到你们 里面有各种小程序(DAC_orignigal very useful program for a friend in need hope to be able to help you there are a variety of small programs)

BTC的基本方法，并且编程实现，显示、观察编码后的图像，分析比较压缩性能。(the basic methods and programming, show that the observed image coding, compression performance analysis and comparison.)

均匀线阵的CRB曲线，适用于阵列信号处理问题(CRB curve of the uniform linear array)

Spread Spectrum Watermarking MATLAB

Some linear algebra code in matlab

this Matlab model to implement MPPT(Max Point Power Tracing) .

Simplified Swarm Optimization Algorithm

array weighting models fort smart antennas