ts_102223v120100p

ＦＤＴＤ　 !-- Fortran code for FDTD with Berenger PMLs, version 1.0, May 1999 !-- by Jos Bergervoet. !-- Plot field and/or Poynting vector S around radiating linear dipole (FDTD!- Fortran code for FDTD with Berenger PMLs, version 1.0, May 1999!- By Jos Bergervoet.!- Plot field and/or Poynting vector S around radiating linear dipole)

说明：  利用卡尔曼滤波、滑模观测器和锁相环实现无传感器控制，曲线效果比较合理(Sensorless control is realized by Kalman filter, sliding mode observer and phase-locked loop. The curve effect is reasonable.)

利用matlab对信号做FFT变换，提取频率幅值，并以图形方式显示(Using matlab to do FFT transform the signal to extract the frequency amplitude, and graphically display)

BP神经网络的应用案例，从其它地方找的，描述数据箱客运量(Applications BP neural network, from elsewhere)

Herewith i attached the matlab codes for Contingency analysis, Economic dispatch,Pv curve,Swing Curve, Ybus Inspection method and Zbus. I hope these are very useful.

matlab下编写的谱相减函数，用作语音增强(prepared under matlab spectral subtraction function, used for speech enhancement)

Some codes matlab for dynamic structure.

函数分析器 用于频谱分析 frequency analysis matlab(frequency analysis matlab)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

最小均方误差（MMSE）的算法，多姿态，多角度，有不同光照,包括调制，解调，信噪比计算。( Minimum mean square error (MMSE) algorithm, Much posture, multi-angle, have different light, Includes the modulation, demodulation, signal to noise ratio calculation.)