1006-4303(2009)02-0196-05

related to 3d human body

连续体动力学机构拓扑优化设计的程序代码，用OC算法(Body continuum topology optimization dynamics code, using OC algorithm)

kalman filter with Forgetting factor RLS algorithm

说明：  这些程序是MIT学生学习Matlab时的教学程序，能面还有个pdf文档附有每个程序所实现的功能(This is the teaching codes at MIT for learning Matlab. hope it is helpful for you.)

matlab/simulink建的混合动力汽车电机控制数学模型，可以控制电机的启停运转，发电等。(Matlab/Simulink built hybrid electric vehicle motor control mathematical model, can control the motor start and stop operation of power generation.)

自己编的canny算子,可识别出图像中物体的轮廓,经典算法之一.(canny operator can identify the contours of objects in an image, one of the classic algorithms.)

该程序用于分析灵敏度时调用在需要添加人工变量时将采用两阶段法求解上述问题(This program is used to analyze sensitivity when called)

说明：  lte资源分配方案，三种方案...........(lte resource allocation)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

三相异步电机调压调速，matlab6.5下完成的(Three-phase induction motor speed regulator, matlab6.5 complete)