VC++andMATLAB-PPT

matlab程序设计功能教程matlab program design features tutorial(matlab program design features tutorial matlab program design features tutorial)

说明：  在matlab中模拟the Brownian movement 过程(the Brownian movement )

说明：  实现随机模拟和数据统计！里面有很多关于模拟和统计的源程序！(Achieve stochastic simulation and statistics! There are many simulation and statistics on the source!)

matlab偏微分方程的解法全解，好实用，如果你对matlab甚至稍微了解一点的话，你都不容错过的下载文档(the matlab Partial Differential Equations and full solution practical If you matlab even slightly understand a little, you have to download the document not to be missed)

本文件为基于OMNeT_的Leach协议的仿真改进与研究(This document is based on the improvement and simulation of Leach agreement OMNeT_)

Support for wireless communication: MIMO

Laplacian Pyramid: 用MATLAB实现并改进的图像拉普拉斯金字塔分解以及隐藏信息嵌入的源码。程序展示了Laplacian Pyramid Decomposition 在图像嵌入隐藏信息的重要作用。(Laplacian Pyramid: Based on MATLAB, original codes realize the improved Laplacian Pyramid Decomposition and the method to embed hidden information into images.Codes show its significance in embedding hidden info into images.)

火焰特性提前的代码，很好用，对图像识别和后续处理有帮助。(Flame characteristics ahead of the code, very easy to use, for image recognition and follow-up processing helpful.)

使用高阶累积量对MPSK信号进行调制识别，通过matlab代码，代码里有很完整的注释和解释。( Using high-order cumulants of MPSK signal modulation recognition, By matlab code, Code, there are very complete notes and explanation.)

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):