sml算法

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

说明：  基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图(Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan)

用matlab编写的模拟地震波在均匀各向同性介质中传播的正演程序，震源为爆炸震源。(Written by matlab simulation of seismic wave propagation in homogeneous isotropic media the forward process, the source for the explosion source.)

实现形态学功能,腐蚀,膨胀,开闭运算,边界提取以及平滑滤波.(Achieve functional morphology, erosion, dilation, opening and closing operation, boundary extraction and smoothing.)

ecg signal implementation in matlab

考虑磁饱和效应时，基于静态频率响应实验对同步电机的参数进行计算的方法。(When considering the magnetic saturation effect, experiments based on static frequency synchronous motor parameters were calculated method of response.)

说明：  遗传算法的metlab程序实现，是数学建模中重要的工具(Genetic Algorithm realize metlab procedures, mathematical modeling is an important tool)

Matlab阵列信号处理工具箱（DBT），版本2.20，阵列信号处理必备。(Matlab Signal Processing Toolbox Array (DBT), Version 2.20, array signal processing required.)

Most recent approaches have posed texture synthesis in a statistical setting as a problem of sampling from a probability distribution. Zhu et. al. [12] model texture as a Markov Random Field and use Gibbs sampling for synthesis. Unfortunately, Gibbs sampling is notoriously slow and in fact it is not possible to assess when it has converged. Heeger and Bergen [6] try to coerce a random noise image.

Matlab Image processing ztransformLPF