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主要介绍如何实现卷积和相关的界面演示，并可以自己编写信号，操作方便。(Describes how to implement convolution and correlation of the interface presentation, and you can write your own signal, easy to operate.)

Learing C Programning tutorial in Turkey

Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. (Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.)

运用vs上的控制台编译。主要功能是用于上课点名用的。并且点名时名字是随机出现的。(Class attendance)

TurboMatlabSimulation_3GPP_Std，基于mac层仿真，详尽的turbo编解码程序(TurboMatlabSimulation_3GPP_Std, based mac layer simulation, detailed turbo codec)

说明：  利用MATLAB语言来实现Levinson-Durbin递推算法，并估计AR模型参数，从而对正弦信号加白噪声进行功率谱估计。(Using MATLAB language to implement Levinson-Durbin recursive algorithm, and estimate the AR model parameters, thus sinusoidal signal plus white noise power spectrum estimation.)

用svpwm逆变方式来产生交流从而实现异步交流电机调速(With svpwm way to generate AC inverter to achieve asynchronous AC motor speed)

空间谱估计，DOA到达角估计，MUSIC算法仿真以及延伸算法(Spatial spectrum estimation, DOA DOA estimation, MUSIC algorithm simulation and extended algorithm)

任意比例缩小图象，支持JPG和24为真彩色位图。初学者小看一下……(Any scaled-down images, support for JPG and 24 for true color bitmap. Beginners to belittle you ... ...)

这是个基于MATLAB的三维重建的例子，想用的话需要安装matlab软件哦(this is a 3D reconstruction demo.needmatlab)