代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

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www.eeworm.com/read/240174/13233323

m fmlin.m

function [y,iflaw]=fmlin(N,fnormi,fnormf,t0); %FMLIN Signal with linear frequency modulation. % [Y,IFLAW]=FMLIN(N,FNORMI,FNORMF,T0) generates a linear frequency % modulation. % The phase of this
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m tfrideal.m

function [tfr,t,f]=tfrideal(iflaws,t,N,trace) %TFRIDEAL Ideal TFR for given instantaneous frequency laws. % [TFR,T,F]=TFRIDEAL(IFLAWS,T,N,TRACE) generates the ideal % time-frequency representation
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m sacubic.m

function [ab,vE,E] = sacubic(N); % % Ph.D. Thesis % Leandro Nunes de Castro % October, 1999. % Function generates n-bit binary strings antibody most uniformly % distributed over the search spac
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m donuts.m

function S = donuts; % % Ph.D. Thesis % Leandro Nunes de Castro % February, 2000 % Function generates the dataset for the 2-DONUTS problem % % DONUT 1 step = 0.2; t = 0:step:4*pi; l = le
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m saml.m

function [ab,vE,E] = saml(N); % % Ph.D. Thesis % Leandro Nunes de Castro % October, 1999. % Function generates n-bit binary strings antibody most uniformly % distributed over the search space
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m sacubic.m

function [ab,vE,E] = sacubic(N); % % Ph.D. Thesis % Leandro Nunes de Castro % October, 1999. % Function generates n-bit binary strings antibody most uniformly % distributed over the search spac
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m donuts.m

function S = donuts; % % Ph.D. Thesis % Leandro Nunes de Castro % February, 2000 % Function generates the dataset for the 2-DONUTS problem % % DONUT 1 step = 0.2; t = 0:step:4*pi; l = le
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m saml.m

function [ab,vE,E] = saml(N); % % Ph.D. Thesis % Leandro Nunes de Castro % October, 1999. % Function generates n-bit binary strings antibody most uniformly % distributed over the search space
www.eeworm.com/read/321288/13409564

m sefade.m

% sefade.m % % This function generates frequency selecting fading % function [iout,qout,ramp,rcos,rsin]=sefade(idata,qdata,itau,... dlvl,th,n0,itn,n1,nsamp,tstp,fd,flat) %*****************
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m bdt_f529.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in