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经典的降维方法集合，包含近代诸多算法，由马大博士生编著。(The Matlab Toolbox for Dimensionality Reduction contains Matlab implementations of 32 techniques for dimensionality reduction. A large number of implementations was developed from scratch, whereas other implementations are improved versions of software that was already available on the Web. The implementations in the toolbox are conservative in their use of memory. The toolbox is available for download here.)

matlab学习中常用到的一些程序代码，有助于大家学些matlab知识 (matlab)

一种结合PSO及改进BP网络的辨识方法 很好的微粒群应用算法辨识效果很好(A combination of PSO and the improved BP network identification method of application of particle swarm algorithm is a very good very good identification results)

用Matlab实现的高频加强的图像锐化，实现了通过理想高通滤波，指数高通滤波和巴特沃思高通滤波的方法(To achieve the ideal high-pass filter, the index of high-pass filter and Butterworth high-pass filter using Matlab to achieve high frequency enhancement image sharpening)

视频压缩感知系统的基追踪算法仿真，可以运行通(Video compress and sensing system that based on BP.)

基于Simulink的数字滤波器的级联结构实现仿真(The cascade structure of Simulink digital filter based on the realization of simulation )

Signle side band Modulation Matlab code

说明：  一个关于随机二进制M序列的一种产生的程序(M on a random binary sequence generated by a procedure)

说明：   本书介绍了在Microsoft Windows 98、Microsoft Windows NT 4.0和Windows NT 5.0下程序写作的方法。这些程序用C语言编写并使用原始的Windows Application Programming Interface（API）。如在本章稍后所讨论的，这不是写作Windows程序的唯一方法。然而，无论最终您使用什么方式写作程序，了解Windows API都是非常重要的。(This book describes the Microsoft Windows 98, Microsoft Windows NT 4.0 and Windows NT 5.0 under the process writing approach. These procedures used C language and use the original Windows Application Programming Interface (API). As discussed later in this chapter, and it is not writing the only way to Windows program. However, regardless of how you use the writing process, understand the Windows API are very important.)

SVM using matlab processing