viterbi_decoder

单摆模型及其扩展。给出单摆的运动参量随时间变化的情况。又扩展到双摆.(Pendulum model and its extensions.Given the situation of the pendulum movement parameters change over time. Extended to the double pendulum)

OFDM的性能仿真，绝对的好资料，在LTE和OFMDA中都有运用。(OFDM-performance simulation, the absolute good information, both in LTE and OFMDA in use.)

双基地MIMO雷达系统DOA和DOD联合估计的MATLAB仿真程序，系统架构和算法可参考以下两篇原始文献。 Haidong Yan,Jun Li, Guisheng Liao.Multi-Target Identification and Localization Using Bistatic MIMO Radar Systems.(cited by 106)EURASIP Journal on Advances in Signal Processing , vol.2008, Jan. 2008. Ming Jin,Guisheng Liao,Jun Li. Joint DOD and DOA Estimation for Bistatic MIMO Radar. Signal Processing, vol.89,no.2,pp:244-251,Feb.2009(MATLAB simulation program for bistatic MIMO radar DOA and DOD estimation. Please refer the following papers for further information of the bistatic MIMO radar systam and corresponding algorithm. Haidong Yan,Jun Li, Guisheng Liao.Multi-Target Identification and Localization Using Bistatic MIMO Radar Systems.(cited by 106)EURASIP Journal on Advances in Signal Processing , vol.2008, Jan. 2008. Ming Jin,Guisheng Liao,Jun Li. Joint DOD and DOA Estimation for Bistatic MIMO Radar. Signal Processing, vol.89,no.2,pp:244-251,Feb.2009)

使用matlab实现遗传算法，内容正确，方法简单(Genetic algorithm matlab code)

Cuckoo optimization algorithm matlab code

常用的MATLAB实用程序，可以帮助你完成MATLAB的快速入门(Commonly used MATLAB utility that can help you complete the Quick Start MATLAB)

1.MatLab从入门到精通的源代码 2.matlab经典算法的程序 3.MATLAB精彩编程100例源码 4.概率分布函数（7个文件） 5.解决积分问题的matlab源程序 （6个文件） 6.时间序列分析的一些模型Matlab源码（自回归例题及M文件）(1.MatLab from entry to the proficient source code (1.13M) 2.matlab classical algorithm procedures (2.9M) 3.MATLAB exciting programming 100 cases of source (3.8M) 4. Probability distribution function (7) 5. integral matlab source (6) 6. Matlab source code, time series analysis model (autoregressive examples and M files))

这些录音由Thorsten Zander，柏林，和蔼可亲地提供；如果你使用这些录音的出版物，请引用： 赞德，T. O.，Kothe，C.，Jatzev，S.＆Gettne，M（2010）。增强人机交互与主动和被动脑机接口的输入。在大脑-计算机接口中（181-199页）。斯普林格伦敦。(These recordings were kindly provided by Thorsten Zander, TU Berlin; if you use these recordings for a publication, please cite: Zander, T. O., Kothe, C., Jatzev, S., & Gaertner, M. (2010). Enhancing human-computer interaction with input from active and passive brain-computer interfaces. In Brain-Computer Interfaces (pp. 181-199). Springer London.)

一个实例搞定MATLAB界面编程,极易上手(An instance to get the the MATLAB programming interface, easy to use)

This is a program of a diversity transmission system based on superposition modulation