HOUGH-detection-circle-

一篇关于电能质量问题及其检测分类方法的外文文献，大家可以参考一下(Article on the detection of power quality problems and their classification of documents in foreign languages, we can refer to)

说明：  人脸检测，基于肤色信息的皮肤区域粗检。自适应高斯模型，(Face detection, skin region based on color information, rough inspection. Adaptive Gaussian model)

input: param: parameters of the LMGE algorithm param.mu, param.alpha, param.beta are regularization parameters. param.p: dimension of shared subspace param.k: number of nearest neighbors for Laplacian matrix X: input data Y: groundtruth labels output: model.W: matrix W Reference: Web and Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang and Alex Hauptmann. contact: yyang@cs.cmu.edu (Web and Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding )

matlab檔案，用於計算定位成功率，輸入nmea檔案，自動計算NMEA定位的成功率(Calculate the fix yield rate)

matlab实用程序百例，关于图像处理的源码(matlab )

Design of Widely Tunable Semiconductor Lasers and the Concept of Binary Superimposed Gratings (BSG’s)

MVDR宽带相干源DOA估计中，相干信号子空间法的空间重采样的聚焦矩阵的构造的程序(Coherent signal subspace method MVDR coherent wideband DOA estimation, spatial resampling focusing matrix structure of the program)

计算Fisher的函数，根据Fisher可以计算出克罗美下界(Fisher s exact test is a statistical test used to determine if there are nonrandom associations between two categorical variables[1]. The job of Fisher s exact test with 2 x 2 or 2x 3 contingency table is already easily done by others. However, the one with n x m contingency table hasn t found , or with bad computation. This function efficiently deals with Fisher s exact test with n x m contingency table. As for the function :)

提取小波脊线的crazy climber算法(Wavelet ridge extraction of crazy climber algorithm)

signal generator design simulink