Mathematical-modeling---Taxi-

In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications.

samg使用手册--amg1r5的升级版(user manual of SAMG- an improved version of AMG1R5)

develop controler for wind turbine

潮流计算在matlab中的程序使用，根据电力系统中的公式，在matlab中进行实现(Flow calculation in matlab program using a formula based on the power system, carried out to achieve in matlab)

控制工具箱文件压缩包，从matlab里toolbox文件夹复制出来的。(Control System Toolbox 8.2_.zip)

Pulse code modulation matlab code

图像的哈弗曼编码matlab实现，实现图像的无损压缩(Matlab coding huffman images achieved)

对螺旋桨的微动特性进行分析，完成对包含螺旋浆的微动特性的回波仿真(Radar returns rectangular rotor blades)

非线性滤波UKF的一些常见函数及实现方法等等。方便学习和使用(Some common function and realization method of the nonlinear filtering UKF)

This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.