kalman-filter

This file enables symbolic computation of Zernike polynomials. The usage should be straightforward. Have fun.

贝叶斯网络教案中的洒水车源代码，含抽样代码。(Bayesian model case study in the sprinkler)

matlab程序用来解薛定谔方程，程序源代码说明详细，可直接使用(matlab program for solving schrodinger equation. there are detailed expression for using the code)

信号处理程序包 高阶累积量 matlab 工具箱(Signal processing toolbox matlab package cumulant)

boundary detection Contrast is the difference in luminance or color that makes an object (or its representation in an image or display) distinguishable. In visual perception of the real world, contrast is determined by the difference in the color and brightness of the object and other objects within the same field of view. Because the human visual system is more sensitive to contrast than absolute luminance, we can perceive the world similarly regardless of the huge changes in illumination over the day or place to place. The maximum contrast of an image is the contrast ratio or dynamic range

可见光通信系统中单点光源的均方根时延扩展的仿真源代码(DRMS in vsible light communication)

说明：  高等土力学剑桥模型示例文件，土的本构模型(Cambridge model of advanced soil mechanics, constitutive model of soil)

应用分数阶的一个实例，首先给出了分数阶付利叶的程序代码，然后用这个代码计算功率谱(Application of an example of fractional order, first of all profits are given fractional leaf program code, and then use this code calculated power spectrum)

ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.

This is a easy to understand and sample code for shape context, Written by: Soheil Mehralian at Isfahan University of Isfahan (IUT) Contact: S.Mehralian@ec.iut.ac.ir