GUI_adder

说明：  单向感应电动机的仿真模型，内有7个仿真文件。具体实现功能和仿真结果图文件夹里有一个PPT文件进行讲解。(One-way induction motor simulation models, there are seven simulation files. Concrete realization of functional and simulation results map folder there is a PPT file to explain.)

说明：  Matlab实现ASK、BPSK 简练高效的ASK、BPSK的实现代码(Matlab ASK, BPSK concise and efficient ASK, the realization code BPSK)

裕兴FC磁盘式学习机全功能自动DUMP卡带ROM软件源码!!!!!!!!!!!!!!!!!!!!!!!!!(Yuxing FC disk-based learning machine fully functional automatic cassette DUMP ROM software source code)

基于LMS的自适应波束成形,本程序给出了基于LMS算法的自适应波束成形(The process is the LMS algorithm based on adaptive beamforming based LMS adaptive beamforming)

程序名称:gm1n.m GM(1,N)模型,程序功能:利用GM(1,N)模型进行预测。程序编写:mongvi@126.com。开发指导:刘思峰教授。程序发布:南京航空航天大学灰色系统研究所。(GM gm1n.m (1, N) model。Function: GM (1, N) model is used to forecast. )

FDTD，cpml 吸收边界，对初学fDTD的人有很好的参考价值(FDTD with cpml absorbing boundary conditions)

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.

该代码用于分类，主要是基于pso优化svm参数的分类代码(The code used for classification, mainly based on pso classification code optimization svm parameters)

最新时频分析技术，包含多个LMD关于故障诊断的算法和程序。(New time-frequency analysis technology, contain multiple LMD algorithm about fault diagnosis and procedures.)

非线性信道matlab仿真程序，可以实现色散和非线性效应(nonlinear fiber)