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/359237/10160231
m cp0201_bits.m
%
% FUNCTION 2.1 : "cp0201_bits"
%
% Generates a stream of equiprobable binary values ('bits')
% The number of bits ('numbits') is an input parameter
%
% Programmed by Guerino Giancola
%
fun
www.eeworm.com/read/358270/10193257
m pulsesource.m
% PULSESOURCE Generates output of pulsed source
%
% [Y] = PULSESOURCE (Time, RiseTime, FallTime, Width,
% Period, Delay, High, Low)
% Generates the output of the corre
www.eeworm.com/read/358270/10193283
m sineapprox.m
% SINEAPPROX Generates a clipped sine wave and an approximation to it.
%
% [EXACT, APPROX] = SINEAPPROX (Time, Frequency, Amplitude, ClipAmp)
% Generates the clipped sine wave and an a
www.eeworm.com/read/356183/10235459
m fig2_3.m
%This program generates Figure 2.3.
close all
clear all
logpfa = linspace(.01,250,1000);
var = 10.^(logpfa ./ 10.0);
vtnorm = sqrt( log (var));
semilogx(logpfa, vtnorm,'k')
grid
www.eeworm.com/read/281034/10270638
makefile
#
# M A K E F I L E
# ---------------
#
# Description:
# Generates documentation
#
# @(#) Makefile,v 1.6 1993/05/31 19:59:27 lasse Exp
#
LATEX = latex
doc: ../patchlevel.h
@grep PATCHLEVEL ../patch
www.eeworm.com/read/280595/10312414
m contents.m
% Probability distribution functions.
%
% estimation - (dir) Probability distribution estimation.
%
% erfc2 - Normal cumulative distribution function.
% gmmsamp - Generates sample from Gau
www.eeworm.com/read/354574/10344933
m rando.m
% rando.m generates a random variable in 1, 2, ..., n given a distribution
% vector.
function [index] = rando(p)
u = rand;
i = 1;
s = p(1);
while ((u > s) & (i < length(p))),
i=i+1;
s=s+p
www.eeworm.com/read/161189/10440027
m gensol.m
%
% soln=gensol(G,lower,upper,a,beta)
%
% This routine generates a random solution according to the posterior
% pdf.
%
function soln=gensol(G,lower,upper,a,beta)
[m n]=size(G);
soln=zeros(n,1);
for
www.eeworm.com/read/161189/10440059
m simmvn.m
%
% m=simmvn(mean,cov)
%
% Generates a random vector according to a specified multivariate normal
% distribution.
%
function m=simmvn(mean,cov)
n=length(mean);
R=chol(cov);
m=R'*randn(n,1)+mean;
www.eeworm.com/read/424063/10499041
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