truetime-1.3

维特比译码算法的实现，以及卷积码译码的误码率性能分析(Viterbi decoding algorithm, as well as the BER performance of the convolutional code decoding)

mm1 model source code

用matlab语言编写的试井分析的程序，做出了均质无限大地层的图像(Matlab language with well test analysis procedures, has made an infinite homogeneous strata image)

matlab实现的基于模糊逻辑的一个简单小例子，仿真已通过，可供初学者实践。(matlab fuzzy logic-based implementation of a simple small example, simulation has been adopted practice for beginners.)

平时遇到很多做MPC（模型预测控制）研究的额朋友，对MPC的学习遇到不少困难，很大的原因就是有价值的资料很少，国内尤甚。这是本极好的讲解利用Matlab对模型预测控制进行建模分析的国外书籍，书名为Model Predictive Control System Design and Implementation Using MATLAB。在这里把电子版于大家一起共享，希望对研究这块的朋友有帮助。(Usually encountered do a lot of MPC (model predictive control) study the amount of friends, learning the MPC encountered many difficulties, much of the reason is that little valuable information, domestic, especially. This excellent explanation of the use of the Matlab model predictive control modeling analysis of foreign books, the title of Model Predictive Control System Design and Implementation Using MATLAB. The electronic version in here together to share research piece of the friends.)

这个程序是用于求解动态响应的一种积分方法，为常见的一种matlab程序。(This program is an integral method for solving dynamic response for a common matlab program.)

说明：  LDPC码的编译码算法，matlab代码(matlab code for LDPC encoder and decoders)

贝叶斯决策，用matlab设计的两类正态分布模式的贝叶斯分类程序(bayes)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

对室内的行人定位跟踪算法进行研究：包括基于RSS的KNN室内定位算法、基于RSS的卡尔曼滤波算法、融合RSS和DR的粒子滤波算法 等。(indoor pedestrian position tracking algorithm is studied, such as the KNN localization algorithm based on the RSS, the kalman filter algorithe based on the RSSthe particle filter algorithm which is fusion of RSS DR and Map information.)