代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
代码结果 10,000
www.eeworm.com/read/321050/13412689
m randint2.m
function out = randint2(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) genera
www.eeworm.com/read/321050/13412806
m cm_f34.m
% script that generates the figure 3.4 of Carrier modulation chapter
snrindB=0:0.25:18;
for i=1:length(snrindB),
snr=10^(0.1*snrindB(i));
P2(i)=Qfunct(sqrt(2*snr));
P4(i)=2*Qfunct(sqrt(4*sn
www.eeworm.com/read/316414/13523302
m fibonacci.m
function f = fibonacci(n)
%FIBONACCI Fibonacci sequence
% f = FIBONACCI(n) generates the first n Fibonacci numbers.
f = zeros(n,1);
f(1) = 1;
f(2) = 2;
for k = 3:n
f(k) = f(k-1) + f(k-2);
www.eeworm.com/read/316412/13523382
m fibonacci.m
function f = fibonacci(n)
%FIBONACCI Fibonacci sequence
% f = FIBONACCI(n) generates the first n Fibonacci numbers.
f = zeros(n,1);
f(1) = 1;
f(2) = 2;
for k = 3:n
f(k) = f(k-1) + f(k-2);
end
www.eeworm.com/read/315915/13534911
m gngauss.m
function [n1,n2]=gngauss(m,sgma)
% [n1 n2]=gngauss(m,sgma)
% [n1 n2]=gngauss(sgma)
% [n1 n2]=gngauss
% GNGAUSS generates two independent gaussian variables with
% mean m & S.D sgma
% if one of
www.eeworm.com/read/313963/13577575
m randint2.m
function out = randint2(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) genera
www.eeworm.com/read/313963/13577692
m cm_f34.m
% script that generates the figure 3.4 of Carrier modulation chapter
snrindB=0:0.25:18;
for i=1:length(snrindB),
snr=10^(0.1*snrindB(i));
P2(i)=Qfunct(sqrt(2*snr));
P4(i)=2*Qfunct(sqrt(4*sn
www.eeworm.com/read/313956/13577854
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
www.eeworm.com/read/313956/13577984
m cm_f34.m
% script that generates the figure 3.4 of Carrier modulation chapter
snrindB=0:0.25:18;
for i=1:length(snrindB),
snr=10^(0.1*snrindB(i));
P2(i)=Qfunct(sqrt(2*snr));
P4(i)=2*Qfunct(sqrt(4*sn
www.eeworm.com/read/312588/13608606
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