PID_4

HI ..This is soft decision decoding for convolutional coding...nice and good code.

详细介绍了VAR模型的功能简介，和各类实际案例的应用。(Described in detail the application of the functions of the VAR model profiles, and all kinds of actual cases.)

研究了内波的形成，发展趋势以及最新实验的分析结果(Study analyzed the results of internal wave formation, development trends and the latest experiments)

说明：  野人过河问题属于人工智能学科中的一个经典问题，问题描述如下： 有三个牧师（也有的翻译为传教士）和三个野人过河，只有一条能装下两个人的船，在河的任何一方或者船上，如果野人的人数大于牧师的人数，那么牧师就会有危险. 你能不能找出一种安全的渡河方法呢？的matlab程序！(Savage river belongs to the problem of artificial intelligence disciplines a classic problem, it is described as follows : There are three priests (also translated some of the missionaries) and the three Savage cross the river, only one can hold the next two boats in the river or any of the parties on board, if Savage is greater than the number of priests the number of priests will be so dangerous. you can find a safe way to cross the river? The Matlab procedures!)

计算Fuzzy Mutual Information and Fuzzy Entropy(calculate Fuzzy Mutual Information and Fuzzy Entropy)

用matlab程序模拟凤凰传奇《最炫民族风》的代码(song played by matlab)

A.K.Nandi和E.E.Azzouz的期刊文献，是关于调制识别的经典文章，该文献是关于数字调制识别的，包括MASK,MPSK,MFSK调制方式的数字信号识别。(AKNandi and EEAzzouz of journal articles, is a classic article on the modulation recognition, the literature is about the digital modulation recognition, including MASK, MPSK, MFSK modulation digital signal identification.)

transfer function model

该程序是MATLAB源程序，可以用来对纹理进行处理得到纹理特征。(MATLAB source code of the procedure can be used for processing of the texture to be texture features.)

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了hjcWjN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 TEOYkcT， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining hjcWjN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 TEOYkcT , 3 test 4, the output result. )