vedic_Code

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! )

使用BP神经网络训练数据并且作出预测，比较预测值与真实值的误差。(The use of BP neural network training data and make predictions, comparing predicted and actual values of error.)

说明：  图论中最短路径计算D算法MATLAB源代码，修改网络上D算法的错误，并编写通用的MATLAB函数(Graph theory, shortest path algorithm for computing D MATLAB source code, modify the network D algorithm error, and the preparation of general MATLAB function)

用matlab写的三个径向基神经网络程序，分别为基于聚类的RBF，基于梯度法的RBF ，基于OLS 的RBF神经网络(using Matlab wrote three RBFNN procedures were based on the clustering of RBF, Based on the RBF gradient method, based on the OLS RBFNN)

Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking

SSFM code for soliton

心音分析和心音文件,包含19个心音和分析程序(Analysis of heart sounds and sound files)

瑞利信道文件,描述了如何产生一个适用于MIMO-OFDM系统的信道！(raily channel)

说明：  MATLAB实用教程（第2版）实例源代码程序EXE0705(MATLAB Practical Guide (2nd Edition) examples source code program EXE0705)

RETINEX_FRANKLE_McCANN: Computes the raw Retinex output from an intensity image, based on the original model described in: Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging" US Patent #4,384,336, May 17, 1983( RETINEX_FRANKLE_McCANN: Computes the raw Retinex output from an intensity image, based on the original model described in: Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging" US Patent#4,384,336, May 17, 1983)