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it is to explain gibbs phenomenon

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)

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this is a whole OFDM project for Matlab

说明：  Spot Object Motion Detection Algorithm

本函数用于面板空间滞后模型SAR及空间误差SEM模型的LM检验，提供稳健统计值。( Computes (robust) LM tests for spatial lag and spatial error)

几种经典的降维工具的matlab程序。供想学习流形学习算法的朋友分享。(This is a dimension reduction toolbox developed by Laurens van der Maaten(MISS). You are free to use, modify, or redistribute this software in any way you want, but only for non-commercial purposes. This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function.)

MATLAB pso标准微粒群算法源程序代码(MATLAB The standard PSO source code)

该程序实现了压缩感知理论中采用矩阵的优化。在压缩感知理论中，要求采样矩阵与稀疏矩阵的相关性越低越好。该代码采用一种交替投影的方法实现采用矩阵的优化，有效降低其相关性。(The program to achieve the optimization of the use of matrix theory compressed sensing. Requirements of the sample matrix and sparse matrix theory of compressed sensing, the lower the better. The code uses an alternating projection method to achieve the optimization of the use of matrix to effectively reduce the correlation.)

彩色图像融合处理 swt matlab程序并有整套评价程序和设计图片(Color image fusion swt matlab program and a full set of uation procedures and the design of the picture)