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power_sfavg.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_sfavg.rar, ,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

能够实现合成孔径雷达的反向投影成像算法，距离向实现脉冲压缩，方位向实现相干叠加。(It can realize the backprojection imaging algorithm of synthetic aperture radar, realize pulse compression in range direction, and realize coherent superposition in azimuth.)

说明：  Modeling control of power system series capacitance compensation

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

FLch4GAeg1.m――梯度校正LS辨识程序(FLch4GAeg1.m-- gradient correction LS identification procedures)

说明：  使用matlab搭建模型进行电网三相全桥整流闭环控制(Closed-loop control of three-phase full-bridge rectifier in power grid using MATLAB model)

说明：  MATLAB程序（附图像），利用HSI色彩空间的AGV对路径进行识别。(MATLAB (AP like), the HSI color space using the right path AGV identification.)

Matlab-based optimal excitation control system design，可以使励磁系统优化(Matlab-based optimal excitation control system design)

a code which serves to form an erlang c table

Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias (Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias)