wavepack

％ PURPOSE : Demonstrate the differences between the following ％ filters on a simple DBN. ％ ％ 3) Particle Filter (PF) ％ 4) PF with Rao Blackwellisation (RBPF)( PURPOSE: Demonstrate the differences between the following filters on a simple DBN. 3) Particle Filter (PF) 4) PF with Rao Blackwellisation (RBPF))

LC滤波器设计与制作LC滤波器设计与制作(LC filter design and production)

Q-learning例程，简单例子易于上手学习原理和代码。(Q-learning Program example)

相关分析过程的matlab方法，利用最小二乘算法实现对三维平面的拟合，在matlab R2009b调试通过。( Correlation analysis process matlab method, Least-squares algorithm to fit a three-dimensional plane, In matlab R2009b debugging through.)

说明：  通过利用Weichselberger模型而产生瑞利衰落信道(rayleigh)

说明：  matlab GUI 编程实现AIS自动船舶系统显示(Programming AIS automatic ship system display)

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.

Ball on Beam Controller Matlab m.file and simulink.(1)

模式识别课小作业 简单感知器matlab实现(Pattern Recognition smaller jobs simple lesson Perceptron matlab implementation)

face regnation system with matlab sourcecode