zhuanxianghuizheng

Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. ％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)

卷积编码，给定生成矩阵和输入，输出卷积编码结果(Convolutional encoding, the generator matrix and the given input and output of the convolution result of the coding)

主要介绍了Alamouti空时算法，分别是分析在接收天线和发射天线不同的情况下信道衰落情况(Mainly introduces the Alamouti space-time algorithm,to analyze the channel fading in the case of the diffierent type of the receiving antenna and the transmitting antenna， respectively)

START RAT远控源码START RAT远控源码START RAT远控源码START RAT(START START RAT RAT far point source code remote control the source code START START RAT RAT far point source code)

利用MATLAB软件来仿真RAKE接收机分集接收性能的程序(Performance simulation of RAKE receiver diversity using MATLAB software program)

说明：  IEEE30节点粒子群无功优化，实现网络损耗最小(IEEE30 node particle swarm optimization, to achieve the minimum network loss)

lpf实现,可以用于matlab仿真中，将此代码放到matlab工作目录下方可使用(the lpf )

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

说明：  研究新混沌所用，用于开发研究新的混沌及图形。(matalab )

说明：  实现多目标粒子群优化功能，重点是进化因子的选取。(Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.)