FM

OFDM仿真原始代码。基于matlab实现OFDM的全过程。压缩文件中包含7个文件。(OFDM code files, include the whole procedure of OFDM. there are seven files in this package.)

matlab绘图灰度图像加旋转层次灰度,实现功能的要求和图像的可逆操作。(matlab photo photograph make run 15a cend isyour best friend .thank you .)

锂电池高精度模型，可以进行参数估计，使用simulink及simscape工具箱(Lithium batteries precision models, parameter estimates that use the the simulink and simscape Toolbox)

modelisation de la MSAP a vide et en charge matlab + resultat

Hamadani thresholding method for image segmentation

CARTOON Image abstraction using bilateral filtering. This function uses the bilateral filter to abstract an image following the method outlined in: Holger Winnemoller, Sven C. Olsen, and Bruce Gooch. Real-Time Video Abstraction. In Proceedings of ACM SIGGRAPH, 2006.

国外的车牌识别算法，包括灰度、二值化、倾斜矫正、定位、字符分割、字符识别等等(Foreign license plate recognition algorithms, including grayscale, binary, tilt correction, positioning, character segmentation, character recognition, etc.)

该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！(These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! )

说明：  三维模式时域有限元求解电磁场，计算电磁学初学者，编写的程序代码，希望可以帮助广大网友(Three-dimensional time-domain finite element method solves electromagnetic field, calculates electromagnetic beginners, compiles the program code, hoping to help the vast number of netizens.)

实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。(Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix.)