登录
首页 » matlab » yiulie

yiulie

于 2016-11-20 发布 文件大小:7KB
0 66
下载积分: 1 下载次数: 4

代码说明:

  验证可用,分析了该信号的时域、频域、倒谱,循环谱等,构成不同频率的调制信号。( Verification is available, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Constituting the modulated signals of different frequencies.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • pml
    计算同轴谐振腔的一个小软件,是基础学习的不错的例子(Coaxial Resonator calculation of a small software is the foundation of learning good example! !)
    2007-05-08 20:00:15下载
    积分:1
  • mnist_data
    Un script est un ensemble d’instruction MATLAB qui joue le rô le de programme principal. Si le script est écrit dans le fichier de nom nom.m on l’exécute dans la fenêtre MATLAB en tapant après « >> » nom
    2014-09-13 19:14:40下载
    积分:1
  • particle-swarm-optimization
    一种智能优化算法-粒子群算法的matlab源程序(particle swarm)
    2013-09-01 17:27:44下载
    积分:1
  • ECG
    给定数据的心电波形的频谱分析,刚刚接触matlab。(Given the spectrum of ECG data analysis, just contact matlab.)
    2015-01-06 22:21:25下载
    积分:1
  • labrosa-coversongid
    Beat Tracking and Music Matching - an easy-to-use beat tracker in Matlab, plus code for describing music audio as per-beat chroma features, which is an effective representation for matching songs that have the same melodic/harmonic content despite changes in tempo or instrumentation.
    2015-03-30 22:22:34下载
    积分:1
  • test_m_fft
    利用FFT实现基于MP的信号稀疏分解程序(Using FFT-based signal sparse decomposition process MP)
    2010-11-20 20:34:12下载
    积分:1
  • Desktop
    i have wote a matlab code to track human in vidoe and this is well runing but i need a code for huma detection in maltab if anyone have thenm plz mail me on my adrees
    2009-05-30 10:49:28下载
    积分:1
  • 6802d82763aa
    to binirazition pictures in matlab
    2012-10-10 18:40:38下载
    积分:1
  • 25_8_2011
    Basic matlab problems
    2013-12-02 15:30:08下载
    积分:1
  • IterativeClosestPointMethod
    ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )
    2007-09-09 16:06:34下载
    积分:1
  • 696518资源总数
  • 104228会员总数
  • 45今日下载