Carroponte-appoggiato

投影bb法，用于求解非线性无约束最优化问题。(projected bb algorithm)

f=zeros(30,30) f(5:24,13:17)=1 imshow(f, notruesize ) F=fft2(f,256,256) F2=fftshift(F) figure,imshow(log(abs(F2)),[-1 5], notruesize )

说明：  基于主成分分析实现对特征脸的人脸识别，训练，输出识别率等。(Based on principal component analysis to achieve the characteristics of face recognition, training, recognition rate of the output.)

遗传算法的matlab程序 很适合 出现遗传算法的人使用(Genetic algorithm matlab program is suitable for people who use the genetic algorithm)

有关 自相关积分的研究和讲解很实用有关 自相关积分的研究和讲解很实用(Related to the integration of research and autocorrelation explain very practical study on the autocorrelation integrals and explain very practical)

dfig wind turbine model for all people

短时傅里叶程序实例，为读者提供短时傅里叶变换的入门学习与程序编写范例(Short-time Fourier instance, short-time Fourier transform to provide readers with an introduction and programming examples)

利用区域增长的方法来实现对图像的区域分割 (picture segmention based on increasing of region)

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal 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 sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  基于MATLAB车牌识别的应用，请大家多多指教(Application of MATLAB-based license plate recognition, please bear teach)