CharacterRecognition-(1)

用matlab/simulink搭建的基于SVPWM的交流调速系统。(Using matlab/simulink to build communication-based SVPWM control system.)

Frank-Wolfe算法 matlab(rank-Wolfe, matlab)

一种新的ABO编码算法实现，自适就二值优化，如果有人感兴趣可以一起学习(ABO a new coding algorithm, since an optimum value on the two, if someone is interested in learning together)

滚动轴承故障诊断基于复Morlet小波滤波和增强的自相关算法(Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement)

fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format:result = fit_rayleigh_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted output: result - structure with the fields s - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

fisher线性分类器训练计算样本错误率，画投影直线(fisher linear classifier training sample error rate calculation, draw a straight line projection)

一个描述FDTD的二维程序，对初学者很有帮助。(A description of two-dimensional FDTD program, useful for beginners.)

分形插值曲面的MATLAB程序,文中给出详细的源程序及注释！(Fractal interpolation MATLAB program, the paper gives details of the source code and comment!)

信号处理技术源代码系列，版权为原作者所有，使用者与原作者联系。(Signal processing technology source code series, the copyright for the original author of all, the user associated with the original author.)

小波去噪,利用小波系数在相邻尺度上的相关性关系,针对小波系数估计中硬阈值方法和软阈值方法的缺点, 通过对双重量收缩函数得到的阈值乘以一个合适系数进行修定的折衷方法,提出了一种新的小波域局部自适应去噪算法.实验结果表明,该方法既可以去除噪声,又可以较好地保留图像的高频细节特征.(Wavelet denoising using the wavelet coefficients in adjacent scales of the correlation relationship between the estimation of wavelet coefficients for the hard thresholding and soft thresholding shortcomings, through the contraction of the double weight of the threshold function has been multiplied by a suitable coefficient revised compromise, proposed a new wavelet-domain partially adaptive denoising algorithm. The experimental results show that the method can remove noise, also can be used to retain the details of the characteristics of high-frequency images.)