代码搜索：Generates

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m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables w
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www.eeworm.com/read/438025/7737550

m genrand.m

function Datatx = genrand(NumSymb,wordsize,NumCarr,Type) %GENRAND Generates random data to transmit % Datatx = genrand(NumSymb,wordsize,NumCarr) % Generates a data set with NumSymb number of rows
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www.eeworm.com/read/437034/7756453

deck arbitrary_phase.deck

Arbitrary Phase SIN and PULSE Sources * * This circuit generates two cycles of sine and square waves * beginning at +45 degrees. * * Phase shift is specified after Berkeley defined parameters *
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www.eeworm.com/read/199774/7823174

m a2dt.m

function beq = a2dT(d,n) % BEQ = A2DT(D, N) generates the decimal % equivalent beq of the binary representation % of a decimal number D with N bits for the % magnitude part obtained by truncation
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www.eeworm.com/read/199774/7823183

m a2dr.m

function beq = a2dR(d,n) % BEQ = A2DR(D, N) generates the decimal % equivalent beq of the binary representation % of a decimal number D with N bits for the % magnitude part obtained by rounding %
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www.eeworm.com/read/299459/7849915

m contents.m

% Data sets used by the STPRtool. % % andersons_task - (dir) Input for demo on Generalized Anderson's task. % binary_separable - (dir) Input for demo on Linear classification. % gmm_sample - (
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www.eeworm.com/read/433768/7910617

m torus.m

function [xx,yy,zz] = torus(r,n,a) %TORUS Generate a torus % torus(r,n,a) generates a plot of a torus with central % radius a and lateral radius r. n controls the number % of face
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www.eeworm.com/read/198642/7918000

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
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www.eeworm.com/read/198545/7929252

m betar.m

function r = betar(m,n,a,b); %BETAR Beta distribution random deviates. % BETAR(M,N,A,B) generates an M x N matrix of random deviates % from the BETA distribution with parameters A > 0 and B > 0. %
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www.eeworm.com/read/197649/7983065

m mbssel.m

function[F]=mbssel(X1) % The function MBSSEL generates a zero order modified Bessel function of the first kind: % Io(X) = SUM( (X/2)**(2*j)/(j!)**2 ) j=0,1,2,3,... % % Calling sequence- %
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