Gabor

It s a useful thing helping you to pragramming the finite element with matlab.

calls all the tests.

支持向量机(SVM)用于分类的算法实现 function [D, a_star] = SVM(train_features, train_targets, params, region)(Support Vector Machine (SVM) algorithm for classification in function [D, a_star] = SVM (train_features, train_targets, params, region))

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

SDOF system distance calculate using Duhamel integral method。

IMAGE RESIZE PROGRAMMMM

说明：  实现智能小车的性能分析和增稳设计，为智能小车的路径规划打好基础(Smart car for the performance of the analysis and design for intelligent increased steadily, the path planning a good foundation)

对一幅图象进行无损一阶预测编码，采用前值预测(Non-destructive image of a first-order predictive coding, using the former value of the forecast)

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function

Motion stimation_ This gets the absolute difference of any pair of video frames.