OFDM_DETECTION

本程序为直接LU分解法及其MATLAB程序，用于求解高斯方程组(This procedure for direct LU decomposition method and the MATLAB program for solving equations Gauss)

改进c灰色预测方法的matlab程序，一维时间序列数据可直接使用(Improved gray prediction method c matlab program, one-dimensional time-series data can be used directly)

艾特肯插值方法源代码，用于科学计算和数据插值，适合学习matlab及工程技术人员参考。(Aitken interpolation source code for scientific computing and data interpolation, for learning matlab and engineering and technical officers.)

Fast_Infogram MATLAMB程序，包含时域谱负熵、频域谱负熵和平均谱负熵(Fast_Infogram MATLAMB program, including time-domain spectral negativity, frequency-domain spectral negativity and average spectral negativity)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

it is a file to watermark the image file in matlab

模式识别中，用线性预测分类器实现逻辑与和逻辑或，MATLAB实现(pattern recognition, classification using linear prediction logic device to achieve and logic, or, MATLAB)

read and write netcdf file

energy efficiency computation when wireless body area sensor node communicates to the coordinator through wireless link in the presence of a relay node when the distance is varied

这是凸优化工具包，无需编程，能够直接调用，方便快捷(This is a convex optimization tool kit, without programming, can be called directly, convenient and quick)