bessel

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

经典的RLS算法，相信对做自适应滤波方向的人很有用哦(Classical RLS algorithm, adaptive filter do believe that one very useful direction Oh)

说明：  VC、Matlab混合编程使用范例，有助于轻松入门。(VC, Matlab use hybrid programming paradigm, help ease entry.)

qpsk 调制与解调 其星座图以及误码率图形以及原始代码(qpsk erb)

matpower工具箱中最小潮流计算的matlab代码(matpower minimum flow calculation toolbox matlab code)

基本的粒子群算法以及使用具有量子行为的粒子群算法，能够很好的用于全局的寻优(The basic particle swarm optimization and the use of a quantum particle swarm behavior can be very good for the overall optimization)

基于SVM和图像处理的道路边缘检测算法，这个算法要求对车辆运动模型和摄像机成像模型进行设定。(road detact based on image process)

给出了如何使用伪逆滤波器的matlab代码(give a matlab code of pseudo-inverse filter)

Code source Of Automated Fingerprint Identification System

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