QNNPiris

用MATLAB编写的蒙特卡罗算法,用于检测光子成象.非常不错,大牛编写!!!!开发环境:MATLAB(using MATLAB Monte Carlo algorithm for detecting photon imaging. Very good. large cattle prepared! ! ! ! Development environment : MATLAB)

帧差法检测目标，简单适用，便于新手学习。(Homodyne detection target frame, simple to apply, easy to learn new)

This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size parameter, μ(n). This parameter is selected so that the error value , e+(n), will be

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Spectrum analysis of sound signal

AFS （Axiomatic Fuzzy Set)理论，我们老师与澳大利亚的一个教授合写的，可可以说这个理论是他们原创的，一经发表了好几篇ＳＣＩ论文，文章里面有ｍａｔｌａｂ　的代码！(In this paper, we introduce the basic ideas and the results of AFS (Axiomatic Fuzzy Set) theory with some simple illustrative examples. All operations and the calculations for AFS theory could be implemented by the Matlab programs and functions whose applied methods are explained and original codes are listed in the Appendix.)

有关matalab方面的仿真文献，希望大家有好的东西都能够共享！(Matalab aspects related to the simulation literature, I hope everyone has good things to share!)

岭回归函数，基于SVD分解的岭回归函数，已经证明了是非的有用和强大( center input and output, so we can estimate w0 separately since we don t want to shrink w0 )

用MATLAB 仿真了风力机模型 The wind turbine model is simulated with MATLAB(The wind turbine model is simulated with MATLAB)

说明：  MATLAB课堂考勤（GUI） 该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸，分割，计算人数，然后提前制作好这些人的人脸库，进行逐一识别是谁，是不是库内人脸，如是，具体是谁，如果不是，那提示库外人脸。具有友好的人机交互界面，还可以二次开发成摄像的，但是摄像头误差可能会有点。识别流程为：读取图像，人脸定位，人数统计，人脸分割，人脸识别，库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.)