CLASSIFY

a matlab GUID example for Wiener filter and one step prediction program for teaching

libev-4.15源码 libev是Marc Lehmann用C写的高性能事件循环库。通过libev，可以灵活地把各种事件组织管理起来，如：时钟、io、信号等。libev在业界内也是广受好评，不少项目都采用它来做底层的事件循环。node.js也是其中之一(libev-4.15 source libev Marc Lehmann is written in C, a high-performance event loop library. By libev, the flexibility to manage the organization of various events, such as: clock, io, signals. libev is also widely acclaimed in the industry, many projects have adopted it as the underlying event loop. node.js is one of them)

微电网的恒功率控制，参考《光伏发电并网与微网运行控制仿真研究》(The microgrid constant power control reference photovoltaic power generation network and micro-mesh run control simulation study)

low pass filter for denoising ecg

用自相关法求重构相空间的延迟时间的matlab程序(With the autocorrelation method for the reconstruction phase space of the delay time of the matlab program)

运用MATLAB,产生基本的冲击序列、阶跃序列、矩形序列(The use of MATLAB, the impact of the basic sequence generated, step sequences, rectangular sequence)

关于PCA的仿真数据生成及故障信噪比（SNR）的主元选取方法仿真代码。(About PCA generated simulation data and fault signal to noise ratio (SNR) of the main element simulation code selection method.)

多频道奇异谱分析，即奇异谱分析的升级版，广泛应用于气象变化，股市波动，降噪等领域。(Multi-channel singular spectrum analysis, that singular spectrum analysis of an upgraded version of the widely used weather changes, stock market volatility, noise reduction and other areas.)

SVM的实现，采用了SMO算法，用C语言结合matlab接口实现，可在matlab下运行。如果是64位的系统，可在matlab下重新同met.(SVM with SMO)

Clasification with feature extraction for two classes