代码搜索：Generates

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m fmconst.m

function [y,iflaw] = fmconst(N,fnorm,t0); %FMCONST Signal with constant frequency modulation. % [Y,IFLAW] = FMCONST(N,FNORM,T0) generates a frequency modulation % with a constant frequency fnorm. %
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www.eeworm.com/read/117859/14901945

m anastep.m

function y=anastep(N,ti); %ANASTEP Analytic projection of unit step signal. % Y=ANASTEP(N,TI) generates the analytic projection of a % unit step signal. % % N : number of points. % TI : starting pos
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www.eeworm.com/read/216898/14987485

h rand-mt.h

/* A C-program for MT19937: Integer version (1998/4/6) */ /* genrand() generates one pseudorandom unsigned integer (32bit) */ /* which is uniformly distributed among 0 to 2^32-1 for each
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www.eeworm.com/read/216841/14991212

java uuidgen.java

/** * Name: UUIDGen.java * Author: uk-dave (http://www.uk-dave.com) * Date: 23th July 2003 * Description: Generates random-number based UUIDs * This program should really
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www.eeworm.com/read/216045/15028882

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 min
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www.eeworm.com/read/215709/15051751

m fmconst.m

function [y,iflaw] = fmconst(N,fnorm,t0); %FMCONST Signal with constant frequency modulation. % [Y,IFLAW] = FMCONST(N,FNORM,T0) generates a frequency modulation % with a constant frequency fnorm. %
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www.eeworm.com/read/215709/15051762

m anastep.m

function y=anastep(N,ti); %ANASTEP Analytic projection of unit step signal. % Y=ANASTEP(N,TI) generates the analytic projection of a % unit step signal. % % N : number of points. % TI : starting pos
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www.eeworm.com/read/215709/15051872

m altes.m

function x=altes(N,fmin,fmax,alpha) ; %ALTES Altes signal in time domain. % X=ALTES(N,FMIN,FMAX,ALPHA) generates the Altes signal in % the time domain. % % N : number of points in time % FMIN
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www.eeworm.com/read/213940/15121862

m bdt_f541.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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www.eeworm.com/read/213492/15133816

m gsamp.m

function X=gsamp(varargin) % GSAMP Generates sample from Gaussian distribution. % % Synopsis: % X = gsamp( Mean, Cov, num_data ) % X = gsamp( model, num_data ) % % Description: % X = gsamp(Mean,Co
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