modulationproduce

matlab中truetime toolbox(truetime toolbox in matlab)

Title: GPU Implementation of Two-Dimensional Rayleigh-Benard Code with High Resolution and Extremely High Rayleigh Number. Authors: Gonzalez, C. M.

数值分析实验用matlab编写的一些程序源代码(Experimental numerical analysis matlab source code written in some of the procedures)

基于瞬时无功理论的检测电路，在matlab环境下的检测模块(jiancedianlu)

GPS_MIMU嵌入式组合导航关键技术研究_唐康华(GPS_MIMU embedded navigation key technology research _ Tangkang Hua)

一维的MATLAB的FDTD的仿真程序，可帮助初学者对FDTD有所帮助。(One-dimensional FDTD simulation of the MATLAB program to help beginners on the FDTD help.)

说明：  张智星编著的MATLAB程式设计与应用一书电子版。详述了Matlab的命令及技巧，针对出现的问题进行了说明和逐一演示。(Edited by Zhang Zhi stars of the MATLAB program design and application of the electronic version of a book. Matlab order details and techniques, in view of the problems described, and each presentation.)

说明：  MATLAB编写的求单位脉冲响应曲线的性能参数指标程序(MATLAB units for the preparation of the impulse response curve of performance parameters indicators procedures)

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

Strapdown inertial navigation system，捷联惯导系统原理，作者：陈哲(Strapdown inertial navigation system, the principle of SINS, Author: Chen Zhe)