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/292797/8332134
test colon4.test
#! /bin/sh
# Make sure ":" works with files automake generates.
# This test is for multiple ":"s.
# Test from Maciej W. Rozycki.
. $srcdir/defs || exit 1
cat > configure.in
www.eeworm.com/read/367442/9748142
m nmix.m
function [XMix,IMix]=nmix(MI,SIGMA,PP,N)
% function [XMix,IMix]=nmix(MI,SIGMA,PP,N)
% NMIX generates mixture of the normal distributed random values
% which have mean value MI, covariance SIGMA an
www.eeworm.com/read/415531/11066432
m mlsd2dpointsprecompute.m
function mlsd = MLSD2DpointsPrecompute(varargin)
% MLSD2DPOINTSPRECOMPUTE Generates a 2D MLSD structure.
%
% function mlsd = MLSD2DpointsPrecompute(p,v,type,a)
%
% This function precomputes a set of
www.eeworm.com/read/414455/11111541
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
www.eeworm.com/read/412611/11190641
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.
www.eeworm.com/read/412611/11190646
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
www.eeworm.com/read/411674/11233960
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
www.eeworm.com/read/336113/12476294
m ls_mse_calc.m
%Function Declaration:
function ms_error=LS_MSE_calc(X,H,Y);
%This function generates mean squared error for the the LS estimator..
%EVALUATION OF Hls
Hls =(inv(X)) * Y;
%The simplest of 'em all
www.eeworm.com/read/335805/12497542
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
www.eeworm.com/read/335795/12498403
c alg31.c
#include
#include
#include
/*
* generates:
original order of the vector: 69 23 80 42 17 15 26 51 19 12 35 8
partial sort of vector: seven elements
8