Turbocode

完成智能天线的T程序仿真，通过仿真可以输出天线的MUSIC算法的结果(Smart antenna to complete the T process simulation, simulation can be output through the antenna of the results of the MUSIC algorithm)

说明：  对于学习通信原理并且要求运用matlab仿真的学者来说是一本很好的书籍。(Communication Theory for the study and asked the scholars to use matlab simulation is a very good book.)

QPSK 的星座图仿真 有仿真信噪比为0dB，10dB，20dB的时候的星座图。(QPSK constellation diagram simulation the simulation signal-to-noise ratio of 0dB, 10dB, 20dB when the constellation diagram.)

针对于三维物体的曲线信息，对曲线进行5*5拟合，能够直接得到曲面的参数方程(For the curve in three-dimensional object information, the 5* 5 curve fitting, be able to direct surface parameter equation)

说明：  可以测试系统存在的漏洞 大家可以学习源码，打开应用程序 这是自己原创(Can test the existence of loopholes in the system that we can learn from source code, open the application, this is their own original)

这是简绍现在编码理论的最新研究进展的书，全英文(This is simply the latest research progress Shao book now coding theory, all in English)

扩展的虚拟同步（Extended Virtual Synchrony），也称为 TOTEM 协议 Y. Amir 等，"The Totem Single Ring Ordering and Membership Protocol" L.E. Moser 等，"Extended Virtual Synchrony" Corosync 是 TOTEM 协议的一个开源实现，当前 RedHat 等提供的企业集群使用它作为一致性协议。

MUSIC算法是最经典的超分辨DOA估计方法，它利用了信号子空间和噪声子空间的正交性，构造空间谱函数，通过谱峰搜索，检测信号的DOA。MUSIC算法对DOA的估计从理论上可以有任意高的分辨率(MUSIC algorithm is the most classical super-resolution DOA estimation method. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectral function, and detects the DOA of signal through peak search. MUSIC algorithm can theoretically estimate DOA with arbitrary high resolution.)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

MLP in neural nethwork