Genetic-Algorithm

关于支持向量机和Doa估计的，讲的很详细，还有自己理解弄的代码(With regard to support vector machines and Doa estimation, and speak in great detail, as well as his own understanding, get the code)

说明：  一种普通的基于matlab编程的BPANN程序(A common procedure based on matlab programming BPANN)

如何在Simulink中搭建Sigma Delta ADC的的非理想模型MODELING BAND，已通过测试。 (In Simulink to build a Sigma Delta ADC' s non-ideal model MODELING BAND, has been tested.)

说明：  It is a detailed paper about QZSI MPC BASED CONTROL

this book gives the complete solution for random variable generation in matlab

多通道软件化软件无线电发射机实现程序,采样速率为25KHz，基于多相滤波的8通道发射机源程序。(Multi-channel SDR(soft defined radio) )

normal fit遗传算法，MATLBA编程。。。。。。。。。。。。(normal fit algorithm, MATLBA programming. . . . . . . . . . . .)

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.

实现小球下落过程的matlab的蒙特卡洛的方针。动态的显示了小球的运动。(Realizes the pellet whereabouts process matlab Monte-Carlo s policy. Dynamic demonstration pellet movement. )

利用matlab进行主成分分析，有现成的代码和数据，主成分分析例子(Use of matlab for principal component analysis, have a ready-made code and data, principal component analysis example )