代码搜索：Additive
找到约 385 项符合「Additive」的源代码
代码结果 385
www.eeworm.com/read/179372/5304993
cpp test_linear_analytic_system_model_gaussian_uncertainty.cpp
// $Id: test_linear_analytic_system_model_gaussian_uncertainty.cpp,v 2.17 2004/11/12 08:57:34 kgadeyne Exp $
// Tests the Linear System Model with Gaussian uncertainty (additive)
// Mobile Robot Dead
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txt props.txt
Help on properties of the Discrete Additive Non-Linear (DANL) model.
'f'
Data object representing f(x,t).
'gw'
Data object representing gw(x,t).
'gu'
Data object representing gu(x,t).
'
www.eeworm.com/read/325790/13185250
txt props.txt
Help on properties of the Discrete Additive Non-Linear (DANL) model.
'f'
Data object representing f(x,t).
'gw'
Data object representing gw(x,t).
'gu'
Data object representing gu(x,t).
'
www.eeworm.com/read/125101/14513437
m comp_lr.m
% Figure 8.13
% reuqire additional functions in files
% chan_1.m ;white noise & noise shaping filter
% sys_1.m ;unknown system & additive white noise
% lms_1.m ;LMS adaptive filte
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m comp_lr.m
% Figure 8.13
% reuqire additional functions in files
% chan_1.m ;white noise & noise shaping filter
% sys_1.m ;unknown system & additive white noise
% lms_1.m ;LMS adaptive filte
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m fig8_13.m
% Figure 8.13
% requires additional functions in files
% chan.m ;white noise & noise shaping filter
% sys.m ;unknown system & additive white noise
% lms.m ;LMS adaptive filter
% rls.m ;RLS ad
www.eeworm.com/read/310212/13655020
m wiener2.m
function [f,noise] = wiener2(varargin)
%WIENER2 Perform 2-D adaptive noise-removal filtering.
% WIENER2 lowpass filters an intensity image that has been
% degraded by constant power additive no
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prg baktems.prg
SELECT 1
USE BAKTEM EXCL
ZAP
TOTAL ON Z_GH TO TEM
INDEX ON Z_LSH TO TEM.EDX ADDITIVE
SELECT 2
USE TEM excl
SELECT KHDATA
B=RECCOUNT()
FOR SKIP = 1 TO B
SCATTER TO KA
IF
www.eeworm.com/read/484391/6587376
prg baktems.prg
SELECT 1
USE BAKTEM EXCL
ZAP
TOTAL ON Z_GH TO TEM
INDEX ON Z_LSH TO TEM.EDX ADDITIVE
SELECT 2
USE TEM excl
SELECT KHDATA
B=RECCOUNT()
FOR SKIP = 1 TO B
SCATTER TO KA
IF
www.eeworm.com/read/344562/11872351
m demo.m
% TEST the functions in the toolbox.
% ---- Simulation parameter
n = 5; m = 2; p = 3;
l = ceil(n/p);
lmax = l;
nmax = n;
delta = nmax+1;
s = 0; % additive noise standard deviation
T = 500; % t