代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

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m gaussn.m

function g = gaussn(f0,n) % function gn = gaussn(f0,n) : generates the order n derivative of the % gaussian window, centered at frequency f0 % The wavelet gn is real, but it is its analytic form
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c alg43.c

#include #include #include /* generates: original element sequence: 29 23 20 22 12 17 15 26 51 19 12 23 35 40 stable sort -- default ascending order
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c alg38.c

#include #include #include /* generates: original element sequence: 0 1 1 2 3 5 8 13 21 34 sequence after applying remove_if < 10: 13 21 34
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c alg45.c

#include #include #include /* generates: original element sequence: 29 23 20 22 17 15 26 51 19 12 35 40 stable_partition on even element: 20 22
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c alg32.c

#include #include #include #include /* * generates: original array values: 3 5 8 13 21 transform each element by doubling: 6 10 16 26 42 tr
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m mmse_mse_calc.m

%Function Declaration: function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance); %This function generates mean squared error for the the MMSE estimator.. %EVALUATION OF Hmmse %Hmmse=F*Rgg*inv(Rgy)*Y;
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m gmp1.m

% gmp1.m % Scope: This MATLAB macro generates first order Gauss-Markov sequence. % Usage: x = gmp1(nstep,beta,sigx,deltat,iseed) % x = gmp1(nstep,beta
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m gmp2.m

% gmp2.m % Scope: This MATLAB macro generates second order Gauss-Markov sequence. % Usage: [xp,xv] = gmp2(nstep,w0,beta,csq,deltat,iseed) % [xp,xv] =
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m bdt_f527.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 min
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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