adapmaxmin.m

2D version of Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but will be referenced from your current state, that is to say the random vector is added to your current state. depending on complexity

matalb guui......................(matalb gui.......................)

Visual C++编程实现Kalman滤波器(It realize the Kalman filter with visual c++)

基于matlab的地震傅式谱编写程序，很有用的一个程序。(Fuh-based seismic spectrum matlab programming, a very useful program.)

measure the capacitance of parallel plate capacitor

湍流气象目标的检测算法仿真程序，用于气象雷达信号处理(turbulent flow target detect program)

modelling and simulation rlc circuit

In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or classifier dependencies in electronic technology. Previous transductive learning strategies have several drawbacks, e.g., feasibility of the constraints was not guaranteed and heuristic learning was applied. We overcome these problems by developing improved iterative scaling (IIS) algorithm for optimal solution. This method is shown to achieve improved decision accuracy over the earlier approaches in electronic technology

说明：  This code is to give a brief analysis of the famous GA alogrithm.

The function femTriangularMeshGenerator() generates triangular mesh for a rectangular shape structure for Finite Element analysis. The outputs are: coords = x and y coordinates of each element nodes cT = nodal connectivity nNodes = Number of nodes The inputs are: Lx = width of the rectangular structure Ly = Height of the rectangular structure Nx = Number of divisions on x- axis NE = Number of elements The example generates 144 elements for a rectangular structure given a dimension 10units by 10units with respect to 8 divisions on x-axis.