final-project_matlab

说明：  对指纹进行处理，指纹识别，带有GUI界面，但是需要付费才能得到代码(Fingerprint processing and fingerprint recognition)

说明：  利用matlab中随机森林工具包数据进行预测(RF toolkit data in matlab was used for prediction)

matlab实现基本的通信仿真技术bpsk(To achieve basic communications simulation technology bpsk using matlab)

说明：  一种用于正向旋转和反向旋转PCA载荷的工具箱(a freeware function to rotate and counterotate scores or loadings (MATLAB- uses PLS_Toolbox))

有关UWB的matlab仿真程序,对一些初学者比较有用(the UWB Matlab simulation program, some more useful beginners)

说明：  复杂背景下目标的快速提取和目标的跟踪研究。(Follow-up study of the complex context of rapid extraction of goals and objectives.)

consits of tutorial

来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation, feature extraction, camera calibration, camera exterior orientation, display, color space conversion and blackbody radiators. The Toolbox, combined with MATLAB and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. It is possible to use MEX files to interface with image acquisition hardware ranging from simple framegrabbers to Datacube servers.(from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg)

这是编好的程序[cp,zq]=grnn(data,yy) gaussian SVM，GRNN 的正确率，击中率，正确拒绝率在19个先天盲人中的为： SVM GRNN 0.68421 0.73684 0.83333 0.83333 0.42857 0.57143 解压到MATLAB的TOOLBOX文件夹里，然后刷新工具箱，在命令窗口输入：rehash toolboxcache。 然后就可以用我的那个函数了。( It is programmed procedures [cp, zq] = grnn (data, yy) gaussian SVM, GRNN accuracy rate, hit rate and correct rejection rate in the 19 congenital blind as follows: SVM GRNN 0.68421 0.73684 0.83333 0.83333 0.42857 0.57143)

filter based segmentation3