we13

说明：  拥有matlab用户界面的卡尔曼滤波程序，很适合转业人士研究，(Owns matlab user interface Kalman filtering procedures very suitable the retrainees study)

matlab绘图介绍,很全面，很详细，需要的人可以参考参考，对你做仿真很不用处的(Matlab graphics, the very comprehensive and detailed, people in need can refer to reference, you do not use the simulation)

Computational Building Physics and Systems 6

利用matlab软件，采用时程分析法，对结构的地震响应进行分析(Using matlab software, time history analysis method to analyze the seismic response of structures)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)

基于PCA和SVM的人脸识别系统，该系统为Matlab源代码编程，利用PCA（主成分分析）和SVM（支持向量机）方法进行训练、识别和测试，人脸识别率为91 。(Based on the PCA and SVM of the face recognition system)

svm线性分类器 .......................(svm linear classifier)

脉冲压缩，能进行雷达脉冲压缩原理的仿真，属于雷达系列的基本原理(Pulse compression, can be simulated radar pulse compression principle, belong to the basic principles of radar range)

介绍了3个matlab常用的子程序.有很好的例子加以说明,希望对大家有用.(of three commonly used Matlab routines. Have a good example to illustrate the hope that useful for all.)

关于支持向量机的很好的学习材料，附有一个基于matlab条件下的小程序。(Support vector machine on a good learning materials, with a little under matlab-based program.)