代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
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www.eeworm.com/read/216045/15028945
m bdt_f527.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/213940/15121858
m bdt_f527.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/212791/15149540
vtb7
% VTB7
%
% VTB7_1 is an example of taking a power spectral density
% of data. The power spectral density of a signal
% containing .5 Hz and 1.59 Hz signals is plotted.
% VTB7_2 generates
www.eeworm.com/read/210157/15205809
m bdt_f527.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/13887/285295
m eeg_colormap.m
function [p] = eeg_colormap(p)
% EEG_COLORMAP - generates EEG/ERP colormaps for eeg_toolbox
%
% [p] = EEG_COLORMAP(p)
%
% Returns a colormap matrix [LENGTH, 3] into p.colorMap.map,
% which
www.eeworm.com/read/490329/1201374
cpp sscode.cpp
#include
#include
#include
#include "cmdline.h"
#include "sys.h"
// for STL - generates really long identifiers!
#pragma warning(disable:4786)
#include
www.eeworm.com/read/482538/1287603
hh randomsource.hh
#ifndef CLICK_RANDOMSOURCE_HH
#define CLICK_RANDOMSOURCE_HH
#include
#include
CLICK_DECLS
/*
* =c
* RandomSource(LENGTH)
* =s basicsources
* generates random pa
www.eeworm.com/read/479351/1333276
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/479351/1333280
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; %（X逆*Y）
%The s