code

说明：  确定图像中的圆形目标，并标示出来。版本R2008B以上(Determine the image of the circular target, and marked. Version of the above R2008B)

说明：  本程序运用广义模糊神经网络理论采用MATLABL编程，实现了自适应控制(the procedures used fuzzy generalized neural network theory used MATLABL programming, the adaptive control)

用于安捷伦信号源。将波形下载到函数发生器上的MATLAB程序(Download the code to the signal generator machine.)

基于matlab编程环境的电力系统潮流计算pq算法(Matlab programming environment based on the power flow algorithm for computing PQ)

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

2010年国际自动化测量技术和机电一体化会议 无位置传感器开关磁阻电机的研究(Automation of measurement technology in 2010 International Conference and Mechatronics Sensorless Switched Reluctance Motor with)

压电智能悬臂梁振动主动控制的研究 压电智能悬臂梁振动主动控制的研究 (Piezoelectric active vibration control of smart cantilever beam study of piezoelectric active vibration control of smart cantilever beam research)

初学matlab的教程，比较全面，比较实用，此部分为第二部分。(Matlab beginner tutorial, more comprehensive, more practical, this part of the second part.)

还是滤波器 不过是IIR的 还是在6X开发环境下的 调试过 (Or IIR filter is still in 6X debug development environment have been)

说明：  Simulates n random angles from a von Mises distribution, with preferred direction thetahat and concentration parameter kappa(Simulates n random angles from a von Mises distribution, with preferred direction thetahat and concentration parameter kappa.)