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说明：  几点说明： 1、source_main.m为主函数，qpsk.m和spread.m为子函数； 2、在matlab工程目录下运行source_main.m即可； 3、为方便大家理解，特以P-CCPCH信道的处理进行了举例，若大家认为资料有用的话请回帖， 我会将整个WCDMA下行信号源的matlab代码提供给需要的人； 4、为方便初学者学习，特提供了我自己开发时参考的3GPP资料，并在关键位置做了记号。 (Some explanations: 1, source_main.m main function, qpsk.m and spread.m as Functions 2, matlab project directory can be run source_main.m 3, to facilitate us to understand, especially for P-CCPCH channel processing of the example, if we consider the information useful, please Replies, I will put the WCDMA downlink signal source matlab code available to people in need 4, for the convenience of beginners to learn, especially when providing a reference to my own development 3GPP information, and in key positions in the mark.)

一个简单的在matlab中实现曲线动态显示的例程。显示的是正弦曲线，逐步向坐标轴右移。给想要matlab动态显示提供点提示。(EnglishSpanishArabicAlpha A simple curve dynamic display routines in Matlab. Shows a sine curve, and gradually shifted to the right to the axis. To want to matlab dynamic display provides a hint.)

基于MATLAB的声音跟踪系统演示，包含详细说明和演示文件。(MATLAB-based voice tracking system demonstration, contains detailed descriptions and Presentations.)

Heston Model option pricings and comparison(Compares the option prices obtained using the analytical Heston formula (1993) and the FFT method (Carr-Madan formula via FFT+ Simpson s, Carr-Madan using adaptive Gauss-Kronrod quadrature, and Lipton s formula using adaptive Gauss-Kronrod quadrature).)

delcam soft crack,very good.

QPSK信号生成 matlab编写的程序 并且分为i路 与q路进行(QPSK signal)

虚拟激励法的实现，4自由度的随机振动问题，包含详细说明，对出学者有很好启示作用！(The realization of the virtual excitation method, 4 degrees of freedom random vibration problems, including details of the scholars have a good inspiration!)

说明：  用 MATLAB实现的MP算法 很简单而且有中文的说明 以往初学者好好看看(MP algorithm is implemented using MATLAB is very simple and the instructions in Chinese for beginners a good look at the past)

本程序实现了kalman滤波功能，并附带了仿真图片(This procedure implements the kalman filtering, and with the simulation images)

深度典型相关性分析，在线性的CCA上增加了深度网络，以此来学习新特征并提高多模态数据之间相关性( Deep cca ,the deep network is added in linear CCA to learning description that the correlation is better between multi-modal datas)