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Passino所提出的细菌优化算法matlab源程序(Passino proposed optimization algorithm matlab source of bacteria)

说明：  神经网络预测,根据已有的数据趋势对未来做出预测(predict of neural network)

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! )

ddc simulation 进行DDC实现过程的仿真(ddc simulation DDC realization process for the simulation)

用matlab计算马氏距离，简单直接，但是手懒，没中文说明部分（外国例程）(Mahalanobis distance calculation with matlab, simple and direct, but the lazy hand, no Chinese explanation part of the (foreign routines))

这里以橘子和苹果为例，基于拉普拉斯金字塔变换的图像融合(Here to oranges and apples Case，Based image fusion Laplace transform pyramid)

波阈值去噪，比较了软阈值，硬阈值及当今各种阈值计算方法和阈值函数处理方法的性能，通过信噪比及均方差的比较，得出各种的算法的优劣(Wave threshold denoising compared soft threshold and hard threshold and the current calculation method and the various thresholds threshold function processing performance of the method by SNR and mean square deviation of the comparison, the pros and cons of various algorithms)

说明：  matlab图像处理命令大全 是一个较入门的图像处理指令合集(matlab image processing command Daquan is a more entry-collection of image processing instructions)

有关于——程序自杀技术实现——的一些简单代码，，，，，，(About- suicide technology program some simple code ,,,,,,)

用快速傅里叶变换实现图像融合，将一个人脸上的妆融合到另一个人脸上(With fast Fu Liye transform image fusion, a person will face makeup into another face.)