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于 2012-11-01 发布 文件大小:3158KB
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  matlab高效编程技巧和应用,25个案例分析(matlab efficient programming techniques and applications, 25 case studies)

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  • hundun
    维Logistic映射 x(n+1)=μx(n)(1-x(n)) 在3. 57 <μ < 4 的参数区域内,系统存在混沌吸引子 (Dimensional Logistic map x (n+1) = μx (n) (1-x (n)) in 3. 57 < μ < 4 parameters in the region, the systems Chaotic attractor)
    2010-05-05 15:57:37下载
    积分:1
  • Conv-OFDM-BPSK
    OFDM系统仿真,调制方式BPSK,前向纠错,运行无误(OFDM system simulation,BPSK,FEC)
    2011-05-26 03:49:52下载
    积分:1
  • DEA--Matlab
    DEA数据包络分析,MATLAB实现,两种模型(DEA--Data Envelopment Analysis)
    2014-09-21 14:30:15下载
    积分:1
  • sy
    说明:  常用的插值方法,会应用它们求函数的近似表达式,并应用插值函数求函数在指定点的近似值。 Lagrange插值,Newton插值(Commonly used interpolation methods, the function will apply them to seek the approximate expression, and function evaluation function by using the interpolated approximation of the specified point. Lagrange interpolation, Newton interpolation)
    2010-06-14 20:08:45下载
    积分:1
  • Zero_forcingBER
    its a zero forcing error calculation matlab code
    2011-05-19 14:58:14下载
    积分:1
  • sag
    how to sag created in power system by fault
    2013-03-17 04:13:18下载
    积分:1
  • regu
    说明:  针对拟合问题的正则化工具箱,具体包括Tikhonov正则化、TSVD正则化等,也包括选择正则化参数的L-curve,GCV等正则化参数选取方法以及Picard条件计算等。(The regularization toolbox for fitting problems includes Tikhonov regularization, TSVD regularization, L-curve, GCV regularization parameter selection method and Picard condition calculation.)
    2019-05-07 09:56:50下载
    积分:1
  • motaifenxi
    模态分析程序,一定要有实验现场的数据,要不运行不了(Modal analysis program, there must be experimental field data, or not running)
    2013-09-27 14:32:28下载
    积分:1
  • psat-2.1.6-oct
    说明:  电力系统分析软件最新版本psat2.1.6,可以进行各种计算仿真(power flow analysis psat2.1.6)
    2011-04-18 17:46:00下载
    积分:1
  • automatic-Emotion-predictor-sytem
    A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [
    2013-11-26 22:40:05下载
    积分:1
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