zhangzhixing

Matlab基础学习资料，从功能介绍到程序设计，为初学者提供很好的引导作用(Matlab-based learning materials, from functional description to the program design, to provide a good guide for beginners)

RS编码的simulink 仿真，在ＡＮＧＷ条件下１(RS coding simulink simulation conditions in ANGW 1)

自己编写的程序，产生Sierpinski衬垫图案,简易实现。附带在网上下载的两个Sierpinski程序供大家一起学习。(their preparation procedures have Sierpinski liner pictorial, simple to achieve. Fringe in the downloaded two Sierpinski procedures for all learning together.)

电力系统专业本科生可以看下，用于计算三机九节点系统的潮流(calculation of the power flow)

正弦波的PCM编码以及自己录制的语音信号的PCM编码(PCM encoded sine wave PCM encoding and recording their own voice signals)

几种常见的杂波模型，包括瑞利分布，威布尔分布，希望对大家有帮助(Several common clutter modeling，maybe it is helpful for you)

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.)

desity based traffic control ..using image processing..paper presentation and knowledge bast paper.its a new idea.

other example of data demodulation

matlab编写的遗传算法，解决各种遗传算法问题，适合于建模的学生。(prepared matlab genetic algorithm, genetic algorithm to solve the problem, suitable for modeling students.)