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程序的主要功能是做了一定范围的信噪比下，对每个信噪比：随机信号QPSK调制； 根据Alamouti方案的矩阵进行编码；发送信号经过瑞利信道和加入高斯白噪声； 接收信号采用最大比合并的方法；最后对合并信号进行最大似然判决并求误符号率。 结果表明10^-3对应大约12->13dB(Procedure main function is to do a certain range of SNR for each signal to noise ratio: random signal QPSK modulation program in accordance with Alamouti coding matrix send signals through Rayleigh channel and adding Gaussian white noise received signal using maximal-ratio combining method Finally the combined signal and the maximum likelihood decision for symbol error rate. The results showed that about 10 ^-3 corresponds to 12-> 13dB)

matlab 设计 FIR 低通滤波器的几种方法(matlab design FIR low-pass filter of several methods)

matlab 使用的心得与体会 在使用过程中肯能会遇到的问题(matlab use of the experience and experience in the process of using the point to be encountered)

VC++与MATLAB混合编程及其应用 摘 要 本文详述了在VC++6.0编译环境下如何利用Matlab来实现应用系统的设计和分析，介绍了通过Matlab与VC应用程序连接的常用方法，分析了VC与Matlab的混合编程的步骤，最后通过一个具体实例的实现过程对上述方法进行了应用性介绍。 ()

插值与拟合的matlab实现，基于多相结构的信道化接收机，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( Interpolation and fitting matlab implementation, Channelized receiver based on multi-phase structure, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

用于matlab 的学习，前五章内容为基本介绍，包括软件安装与卸载，数据类型，数组与matalab常用功能(For the matlab learning, basic introduction to the first five chapters content, including software installation and uninstallation, data types, arrays with common functions matalab)

线性调频信号仿真，及时域频域脉冲压缩，加窗处理抑制旁瓣(LFM signal simulation, pulse compression in time domain and frequency domain, windowed processing to suppress sidelobes)

This is a two stage method in which at first image RGB compensated and then converted to YCbCr to normalise overall illumination of image.Its cascaded implementation of section 2.A of paper "A FAST SKIN REGION DETECTOR" by Phil Chen, Dr.Christos Greecos, ESC Division Research 2005,and section 2.1 of paper "Simple and Accurate Color Face Detection Algorithm in Complex Background" by YUI TING PAI et al. ICME 2006 . Please go through those papers for more details.

说明：  是ｍａｔｌａｂ相关的基础学习，在我们学校小学期的时候用到了(Matlab based learning in our school primary school period when used)

基于TOA测量的Newton-Raphson定位算法仿真 基于TOA测量的Gauss-Newton定位算法仿真 基于TOA测量的Steepest Descent定位仿真(TOA-based localization algorithm simulation based on TOA measurements Gauss-Newton measured TOA measurements based on the Newton-Raphson localization algorithm simulation Steepest Descent positioning simulation)