CRCencode

ID3 algorithm of Machine Learning

MATLAB求解无穷区间定积分问题 MATLAB solving infinite interval definite integral problem(MATLAB solving infinite interval definite integral problem)

说明：  leachm1和leachm2的生命周期对比 leachm1和leachm2的数据传输对比对比(Lifetime comparison between leachm1 and leachm2 Comparison of data transmission between leachm1 and leachm2)

基于matlab的自相关序列产生.用到了分数阶高斯噪声和Hurst参数.(Based on the autocorrelation matlab generated sequence. Used a fractional Gaussian noise and Hurst parameter.)

An mlp Network which distinquishes between numbers 0 to 9 in a five to seven matrix

基于matlab的lorentz方程混沌运动的仿真(chaos simulation)

电磁场各种类型天线的分析示意 提供方向图示意， 以及计算其输出阻抗等(electromagnetic field analysis of the various types of antenna indicate plans indicate the direction and calculate the output impedance)

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.)

This tool is a simplification of the ballpivoting algorithm. It imagines a bella eating a delaunay traignulation in order to extract a manifold surface. It requires a single parameter: radius of the fretting ball. Ball Fretting Given a uniform sampled filled point cloud returns a tight triangulation. Input: ■tetr: a set of tetraedrons, nx4 array. If the cloud is not tesselated yet you need to call a delaunay triangulator prior calling this function. ■p : nx3 array, 3D set of points. ■r : the only parameter of the algorithm, the radius of the fretting ball Output: ■t : triangles ids, nx3 array ■tnorm: normals of triangles with outwards orientation

小波滤波的构造实现，以及阈值的设定，小波重构与分解。在各种滤波参考运用，程序放在word中的(Wavelet filter construction and de-noising process)