Question4

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)

implements wumpus world with artificial intelligence resolution

一种自适应滤波算法，可进行lms和rls算法学习和实现(An adaptive filtering algorithm, LMS and RLS algorithms can be learning and implementation )

这是信号分析课程中的作业，本程序产生QPSK信号(This is a signal analysis course in the operation, the procedures QPSK signal)

说明：  一个雷达回波模拟的matlab程序包,含有在RCS服从卡方分布,瑞利分布(A matlab program package of radar echo simulation, including the distribution of RCS obeying chi square distribution and Rayleigh distribution)

image processing in matlab

psoTRAINb khkhk kbnkbn

遗传算法的优化计算——输入自变量降维，环境matlab(Genetic algorithm optimization calculations input variable dimension reduction)

matlab读取uff文件数据 Universal file generation from I-Deas for Test can be split into two categories: export of model file data and export of adf data. It is not possible to write both sets of data to a single file. Written with a model file universal file are the geometry, elements and traceline data. However, just to add confusion, nodes and tracelines can also be written separately in their own file format.(Universal file generation from I-Deas for Test can be split into two categories: export of model file data and export of adf data. It is not possible to write both sets of data to a single file. Written with a model file universal file are the geometry, elements and traceline data. However, just to add confusion, nodes and tracelines can also be written separately in their own file format.)

SVM分类程序，可以进行多类分割，该程序的优点是可以直接运行处结果，对SVM初学者十分有利。(Svm classfication program which could run fluently without boring small bugs.)