Grid_Connected_Fuel_Cell

并行运算与神经网络——基于CPU/GPU的并行神经网络运算(Artificial Neural Networks)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

SAX比其他符号算法更简便、高效 在符号化过程中实现了减维降噪 ,保证在符号空间计算出的两个符号序列距离满足实际两个时间序列距离的下界要求 ,即不会出现漏报(SAX (Symbolic Aggregate approXimation))

帮住MATLAB初学者学习该软件，适合入门学习。(easy MATLAB)

分形曲面的matlab简单程序，已经测试过。(Fractal surface matlab simple procedure, has been tested.)

这个是上海傲谱分析仪器有限公司型号为FP650型火焰光度计的说明书(This is the Shanghai Ao spectrum analysis instrument Co., model for the FP650 type flame photometer.)

this program describes the partical filter and extended kalman filter used to reduce the error to get better accuracy of the position

说明：  Zeby aktywowac to konto zeby pobierac

说明：  2011国际表面检测高峰会议ISIS在德国召开。此份文件为此次会议发表的论文。探讨了工业表面检测前沿科技和应用（主要是工业图像检测技术），以及发展趋势(2011 ISIS International Surface Inspection Summit held in Germany. This document is the conference papers. Detected on the surface of the cutting-edge technology and industrial applications (mainly industrial image detection technology), and trends)

说明：  系统采用LC滤波，利用PR控制器对逆变器输出电压进行闭环控制。PR控制器在逆变器控制中应用很多。PR控制能够在谐振频率处提供无穷大的增益，因而对谐振频率处的电流信号实现无静差跟踪，并且易于实现，可有效降低系统成本。(The system uses LC filter and PR controller to control the output voltage of inverter. PR controller is widely used in inverter control. PR control can provide infinite gain at the resonant frequency, so the current signal at the resonant frequency can be tracked without static error, which is easy to implement and can effectively reduce the system cost.)