rotat

matlab在振动分析中的应用源代码 包括各种信号处理的时域频域方法 强烈推荐 仅供学习交流(matlab in vibration analysis application source code, including various signal processing frequency domain method is strongly recommended for learning exchanges)

说明：  MATLAB进行有限元分析时应用该用限元工具箱，很好用的(MATLAB finite element analysis application of the Limited yuan toolbox, with the good)

说明：  遗传算法 多目标优化算法，SPEA2 主要流程：1：首先初始化一个archive的集合P1，以及一个常用的population的集合P。设置P1的大小是N1，P的大小是N。初始的时候P1是空的，而P是已经初始化好的种群个体。 2：对P1进行评价，选出来里面的pareto front为1（下面用PF1来代替了）的个体，copy到P1中，如果PF1的数量大于N1的话，这个接下来再说，目前假定PF1的数量小于N1。(Genetic algorithm, multi-objective optimization algorithm, SPEA2 Main process: 1: first, initialize a set P1 of archive and a set P of popular. Set P1 to N1 and P to n. At the beginning, P1 is empty, and P is the initialized population. 2: Evaluate P1, select the individual whose Pareto front is 1 (Pf1 is used to replace it below), copy to P1, if the number of Pf1 is greater than N1, then let's talk about it. At present, it is assumed that the number of Pf1 is less than N1.)

讲UPF的一个PPT,只对一篇经典文章的总结,我觉得很好,比看文章更能抓住重点.(UPF speaking of a PPT, is only a summary of the classic article, I feel good, better than to see the article focused.)

基础的音频处理matlab程序，设计巴特沃斯低通数字滤波器实现滤波。(Matlab-based audio processing procedures, Butterworth low-pass digital filter designed to achieve the filtering.)

前景检测程序，MATLAB实现，有背景差分，帧差法，混合高斯模型，光流法。(Foreground detection procedures, MATLAB, background difference, frame difference method, the gaussian mixture model and optical flow method.)

matlab simulink仿真实例分析（源代码模型)(matlab simulink simulation analysis (source model))

本电子资源是《matlab 2007 基础教程》的配套电子资源，包含PPT 和程序实例以及课后题答案。(The electronic resources is " matlab 2007 Essentials" package of electronic resources, including examples of PPT and procedures and answer questions after school.)

程式用matlab工具程式編輯實現了小波變換進行圖像壓縮,並且顯示壓縮前後的圖像。 代碼很簡明清晰,適合初學者研究和學習(Editing utility program to achieve with the matlab wavelet transform image compression, and displays the image before and after compression. The code is simple and clear, suitable for beginners research and study)

kmeans face detection in matlab