MPSK_QAM

用MATLAB计算正弦波的波形数据.并产生.H档案(Calculated using MATLAB sine wave of waveform data. And produce. H file)

matlab c++ 联合编程简单示例，具体过程可以参照我的blog：http://blog.csdn.net/owldestiny/archive/2009/03/07/3966340.aspx(matlab c++ United programming easy example, the specific process can refer to my blog: http://blog.csdn.net/owldestiny/archive/2009/03/07/3966340.aspx)

This document about method of solution kinematics problem in unit quaternions on matlab

用MATLAB进行车牌识别的程序，效果不错(License Plate Recognition Using MATLAB to process, good results)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

耦合影响格子序列仿真，随机性，平衡性，级多瓣分治混沌序列在cnma中的应用(Simulation of the impact of lattice coupling sequence, randomness, balance, class of chaotic sequence多瓣divided the application in cnma)

simulink of RL load in synchronous frame

典的三代相干体算法C1/C2/C3,用于地震资料解释中(compute coherency in seismic interpretation)

说明：  能够根据已知参数计算同步时钟系统的预期寿命。考虑了多个切换器，考虑了节点损坏后只作为从节点、只作为主节点、总线阻塞等情况。(The expected life of synchronous clock system can be calculated according to the known parameters. Several switchers are considered. The node is only used as slave node, only as master node, and bus is blocked.)

分类和回归的工具箱，很好用，精确度很高，我自己很喜欢这个(Classification and regression of the toolbox, useful, high accuracy, I really like this)