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Inverse Synthetic Aperture Radar processing using MATLAB

本书以MATLAB 7为版本，由浅入深地介绍MATLAB的工作环境、基本语法、数值运算、符号运算、二维和三维图像创建与编辑、高级图形图像处理、句柄图形、图形用户操作接口（GUI）、程序设计与调试、M文件的使用、MATLAB编译器、Simulink交互式仿真集成环境的应用，以及MATLAB的外围功能和应用程序接口等内容；并通过MATLAB在高等数学、信号处理及数字通信、数字图像处理方面的应用，介绍MATLAB在实际中的应用。(Book MATLAB 7 to version, it gradually introduces the MATLAB environment, basic grammar, numerical computation, symbolic computation, two-dimensional and three-dimensional image creation and editing, advanced graphics, image processing, handle graphics, graphical user interfaces operate (GUI ), program design and debugging, M file usage, MATLAB Compiler, Simulink simulation integrated environment for interactive applications, and MATLAB peripheral functions and application programming interfaces, etc. and through MATLAB in advanced mathematics, signal processing, and digital communications, digital image processing applications, the introduction of MATLAB in practical application.)

LMS toolbox LMS的工具箱。 内有多个有关LMS和RLS的m文件！(the toolbox. There are a number of LMS and RLS m documents!)

perl program guide ch1

说明：  150km处机载雷达杂波建模仿真，注释详细，绝对有用！！！！(Modeling and Simulation of airborne radar clutter at 150km, detailed notes, absolutely useful)

对图片中字母数字识别，通过matlab实现(Recognition of letters and numbers in pictures)

支持向量机 ，2d 举例SVM Classification 2D(SVM Classification 2D examples)

模拟人的步行，是一个很好的模拟程序！！！( WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?)

自己编写的绘图相关的函数，对于初学者很有用！！！(Graphics Related)

KSVD原始算法：信号稀疏表示中的过完备字典的学习算法(KSVD original algorithm: Signal Sparse Representation of the learning algorithm over-complete dictionary)