Dijkstra-Matlab

滑膜控制的一些MATLAB程序。可以和大家好好的分享。(Synovial control some of the MATLAB program. Be kind can share.)

个给定一段信号，采用不同的方法实现QPSK和OQPSK调试信号仿真(A given period of the signal, using different methods to achieve QPSK and OQPSK signal simulation debugging)

function [ndata,a]=splinenormalize(data) The function SPLINENORMALIZE normalizes with splines, the data(n,m) where n specifies the number of time points, and m is the number of IMF components. The normalization is carried out with both maxima and minima hence emax is taken as the absolute sign.

baseband modulation and demodulation

zernike 多项式的一部分程序，此程序用Matlab编写，能很好的实现功能(zernike polynomial part of the program, this procedure to prepare to use Matlab, can achieve a good functional)

Matlab C++数学库对结构阵列的操作(======================================================================== CONSOLE APPLICATION : structArrayCreate ======================================================================== AppWizard has created this structArrayCreate application for you. This file contains a summary of what you will find in each of the files that make up your structArrayCreate application. structArrayCreate.dsp This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. structArrayCreate.cpp This is the main application source file. ///////////////////////////////////////////////////////////////////////////// Other standard files: StdAfx.h, StdAfx.cpp These files are used to build a precompiled header (PCH) file named structArrayCreate.pch and a precompiled types file named StdAfx.obj. )

在本程序中，融合了多种传感器的组合导航算法，并且进行卡尔曼滤波，(duo chuan gan qi ,matlab ,kalman)

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.

Fuzzy Cognoscitive Maps example

CA models simulation