FLOW-IN-THE-CAVITY

matlab 5.3 命令集包含多种程序说明(THE instruction of matlab 5.3)

用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）(Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the independent component (no noise))

本程序用于绘制三维图形，可以对地面激光点云数据进行三维建模。(The procedure used to draw three-dimensional graphics, you can on the ground laser point cloud data for three-dimensional modeling.)

hiding bit in digital image

Feature Extraction from EEG

说明：  一个指纹识别系统的源码，附带了测试图片，运行正常。(A fingerprint identification system source code, with a test picture, running normally.)

This is a matlab program for solving finite quantum well schrodinger equation

Lattice Boltzmann sample in Matlab Copyright (C) 2006-2008 Jonas Latt

关于 神经网络的matlab程序 的第二章的程序代码(matlab )

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):