xiaotaobaobao.matlab

基于matlab的数字信号处理程序，能供大家交流学习(Matlab-based digital signal processing procedures, we can exchange for learning)

模糊k均值算法，将模糊理论和k均值聚类算法想结合。(fuzzykmeans clustering ,combine the fuzzy theoy and kmeans clustering.)

2014 Continuous Learning of Human Activity Models - imp(2014 Continuous Learning of Human Activity Models- imp)

利用Matlab软件编写的轨道不平顺数据分析程序能够对轨检车测得的不平顺数据进行处理,得到功率谱密度分布函数.轨道不平顺分析程序包括轨道不平顺数据预处理、轨道不平顺谱分布函数计算以及根据实测的车体振动加速度,对轨道不平顺与车体振动加速度进行相干分析、提出对行车运行有不利影响的不平顺波长范围等.研究结果表明:车辆的动力特性与轨道不平顺有密切关系.高低不平顺对车体垂向振动影响显著,轨向不平顺对车体水平振动影响显著,水平不平顺对列车垂向、横向振动均有显著影响.(Matlab software written track irregularity data analysis program able to track inspection car irregularity measured data are processed to obtain the power spectral density function. Track Irregularities track irregularity analysis procedures including data preprocessing, track irregularity spectrum distribution function calculations, and based on the measured vibration acceleration of the vehicle, with the body of track irregularity acceleration coherent analysis, have an adverse impact on traffic running irregularity wavelength range, etc. the results show that: the dynamic characteristics of the vehicle and the track irregularity closely related. rough along the vertical vibration of the vehicle significantly, rail irregularity vibration to levels significantly affect the body, the level of irregularity to train the vertical and horizontal vibration significantly affected.)

用matlab实现Z变换，希望对大家有帮助(using matlab to realize Z transform.hope it is useful.)

this help u lots of imn mat labcoding bult lasa much mor coding in networkis

外国一个大学生做了一个精确定位系统，这个系统几乎可以跟踪镜头里的任何物体。只要你能看见它，并把它选中。有兴趣的同学可以下载我传上来的源文件...是用matlab写的...demo文件也在里面 (A foreign university students made a precise positioning system that can track almost any object lens. As long as you can see it, and to select it. Interested students can download the source files I pass up ... with matlab ... demo files are written inside)

随机共振例程 bistable_system.m(bistable_system matlab code)

matlab code for video watermarking

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.