4.9AdaptiveFilter-master

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)

1: MSE.m : to perform Mean Square Error between 2 images 2: most.m : to get the most redundant value in a matrix 3: getneighbors.m : to get circular neighbors of pixel 4: ColorSpaceConversion.m : convert an image into different color spaces and shows their channels 5: ImageSlicer : to separate the 8 bit planes of an image(return m*n*8 matrix) 5:

CDMA coding and decoding mechanism

实现hsi颜色空间到rgb颜色空间的转换，还有rgb到hsi的转换，(Achieve hsi color space to the rgb color space conversion)

andoird仿网易的一个demo，使用tabhost实现(A android demo as WangYi client by useing tabhost.)

producti in matlab defined for matrix

数据归一化源码，可用于数据处理将数据归一化到0-1之间(The data normalization codes can be used for data processing the data normalized to between 0-1)

A buffer with 2 inputs and 2 outputs is implemented in this experiment. The buffer has a buffer size k=6 cells for each input buffer, and arrival rate lambda, λ. The Matlab software was used to make this buffer. Two 2*2 arrays were created as two for inputs and outputs, a 2*6 array is created as the body of buffer. This means the buffer can hold the 6 data from two sources and the buffer has two input ports and two outputs port. However, it can only have one write or arrival for each input per slot time or cycle time and it can only have one read for each output per cycle time. We can only read out once per cell time from a given input buffer.(A buffer with 2 inputs and 2 outputs is implemented in this experiment. The buffer has a buffer size k=6 cells for each input buffer, and arrival rate lambda, λ. The Matlab software was used to make this buffer. Two 2*2 arrays were created as two for inputs and outputs, a 2*6 array is created as the body of buffer. This means the buffer can hold the 6 data from two sources and the buffer has two input ports and two outputs port. However, it can only have one write or arrival for each input per slot time or cycle time and it can only have one read for each output per cycle time. We can only read out once per cell time from a given input buffer. )

Factory class for creating an XPath. Implementors of XPath derivatives will need to make a derived class of this. @xsl.usage advanced.

用matalb仿真来判断无线传感器网络中的各个节点是否连通。其中包含判断连通率的函数和覆盖率的算法。可以计算最小发射功率。(Matalb simulation to determine whether the use of wireless sensor network each node connectivity. Which contains a function to determine connectivity rate and coverage algorithms. You can calculate the minimum transmission power.)