代码搜索:peaks

找到约 1,748 项符合「peaks」的源代码

代码结果 1,748
www.eeworm.com/read/432940/8561213

m peaks.m

function [xz,y,z] = peaks(arg1,arg2) %PEAKS A sample function of two variables. % PEAKS is a function of two variables, obtained by translating and % scaling Gaussian distributions, which is
www.eeworm.com/read/186646/8920963

doc surf(peaks).doc

www.eeworm.com/read/274261/10879662

m peaks.m

function TheSltnValue=Peaks(TheSltn) TempSum1=0; for i=1:30 TempSum1=TempSum1+i*TheSltn(i)^4; end TheSltnValue=TempSum1+rand;;
www.eeworm.com/read/339293/12244507

m peaks.m

% peaks.m % Calculated peak values and total variation of a prototype second-order system % T(s)=1/(tau^2*s^2+2*tau*zeta*s+1) % Variables: tau and zeta must be defined before using the procedure.
www.eeworm.com/read/131650/14134604

hpp peaks.hpp

// // MATLAB Compiler: 3.0 // Date: Sun Dec 14 21:22:13 2003 // Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on" // "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/131650/14134608

cpp peaks.cpp

// // MATLAB Compiler: 3.0 // Date: Sun Dec 14 21:22:13 2003 // Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on" // "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/165360/10066313

jpg peaks-jr.jpg

www.eeworm.com/read/13887/285254

m eeg_peaks.m

function [p] = eeg_peaks(p) % EEG_PEAKS - Find peaks in EEG data % % Useage: [p] = eeg_peaks(p) % % The p structure is explained in eeg_toolbox_defaults. % For this function, it must contain the
www.eeworm.com/read/304962/3781595

off three_peaks.off

OFF 1907 3671 0 -10.000000 7.163748 1.428571 -10.000000 7.163748 1.771428 -10.000000 7.163746 2.114286 -10.000000 7.163744 2.457143 -10.000000 7.163742 2.800000 -10.000000 7.163731 3.485714 -10.000000
www.eeworm.com/read/366508/2889634

dat peaks with base.dat

Time Amp Base 10 0.15005 0.18868 11 0.15005 0.18582 12 0.15676 0.18296 13 0.16741 0.18011 14 0.17594 0.17725 15 0.18433 0.17439 16 0.17937 0.17153 17 0.1766 0.16868 18 0.17494 0.16582 19 0.1