chpp3A10.1007p2F978-3-7091-6215-6_27

HEap Sort Implementation !!

第9章 聚类分析的码源，有效进行科学数据的处理，有例子，测试效果好！！(Chapter 9 clustering analysis source code, valid scientific data processing, there are examples of test results is good! !)

周期脉冲信号的频谱图，信号长度设的比较小，可以实时调整。 (Periodic pulse signal s spectrum, the length of the signal set is relatively small, can be adjusted in real time.)

说明：  基于MATLAB的高压直流输电仿真模型，模型包含整流和逆变两个部分。仿真模型运行结果成功，波形良好。(Based on MATLAB, the HVDC transmission simulation model consists of two parts: rectification and inverter. The simulation model runs successfully and the waveform is good.)

闭环系统辨识的MATLAB源码，对于SISO系统具有良好的辨识效果(Closed-loop system identification of the MATLAB source code for the SISO system has good identification results)

matlab时频分析工具箱，时频分析工具箱包括短时傅立叶变换和二次型时频分析以及各种时频分析的matlab代码(The Time-Frequency Toolbox (TFTB) is a collection of about 100 scripts for GNU Octave and Matlab (R) developed for the analysis of non-stationary signals using time-frequency distributions. It is primary intended for researchers and engineers with some basic knowledge in signal processing.)

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)

some codes helpful in 3D reconstruction using matlab

3维FDTD程序,非常实用的一个MATLAB程序，适用于任何三维结构，分享给大家使用。(Three-dimensional FDTD program, a very practical MATLAB procedures applicable to any three-dimensional structure, to share for everyone to use.)

城市规划计算机仿真，元胞自动机，MATLAB实现(Urban planning computer simulation, cellular automata, MATLAB implementation)