代码搜索：factor
找到约 6,651 项符合「factor」的源代码
代码结果 6,651
www.eeworm.com/read/297846/7992484
m fig2_21.m
% Use this program to reproduce Fig. 2.20 of text.
close all
clear all
np = 4;
pfa = 1e-7;
pdm = 0.99945;
pda = 0.99812;
% calculate the improvement factor
Im = improv_fac(np,pfa, pdm);
Ia =
www.eeworm.com/read/238965/13312567
m fig2_21.m
% Use this program to reproduce Fig. 2.20 of text.
close all
clear all
np = 4;
pfa = 1e-7;
pdm = 0.99945;
pda = 0.99812;
% calculate the improvement factor
Im = improv_fac(np,pfa, pdm);
Ia =
www.eeworm.com/read/136766/13361990
m latexq.m
function Q2 = LatexQ(d, j, pattern)
% Q2 = LatexQ(d, j, pattern) prints out Q for degree d, level j, showing
% normalization factor first if possible. Returns the actual matrix
% printed. If patter
www.eeworm.com/read/321424/13405118
m fig2_21.m
% Use this program to reproduce Fig. 2.20 of text.
close all
clear all
np = 4;
pfa = 1e-7;
pdm = 0.99945;
pda = 0.99812;
% calculate the improvement factor
Im = improv_fac(np,pfa, pdm);
Ia =
www.eeworm.com/read/321385/13407788
m fig2_21.m
% Use this program to reproduce Fig. 2.20 of text.
close all
clear all
np = 4;
pfa = 1e-7;
pdm = 0.99945;
pda = 0.99812;
% calculate the improvement factor
Im = improv_fac(np,pfa, pdm);
Ia =
www.eeworm.com/read/309560/13668923
m minphase.m
function [y,ssp,iter] = minphase(g);
% Extracts the minimum phase factor y from a linear-phase filter.
% Input: g = [g(0) g(1) . . . g(N)] (row vector) where
% the g vector is the right-half of a l
www.eeworm.com/read/147682/5728152
m init_vffrls.m
% [w,x,d,y,e,R,k]=init_vffrls(L,b,w0,x0,d0)
%
% Creates and initializes the variables required for the
% Variable Forgetting Factor Recursive Least Squares
% (VFFRLS) Adaptive algorithm
www.eeworm.com/read/102395/6233399
gw fig-11.1.gw
LEDA.GRAPH
void
void
8
|{}|
|{}|
|{}|
|{}|
|{}|
|{}|
|{}|
|{}|
6
1 2 0 |{}|
1 3 0 |{}|
4 2 0 |{}|
4 5 0 |{}|
5 3 0 |{}|
6 7 0 |{}|
# version string
GraphWin 1.320000
# scaling factor
2.06735
# node la
www.eeworm.com/read/491236/6437882
m fig2_21.m
% Use this program to reproduce Fig. 2.20 of text.
close all
clear all
np = 4;
pfa = 1e-7;
pdm = 0.99945;
pda = 0.99812;
% calculate the improvement factor
Im = improv_fac(np,pfa, pdm);
Ia =
www.eeworm.com/read/489524/6472654
m fig2_21.m
% Use this program to reproduce Fig. 2.20 of text.
close all
clear all
np = 4;
pfa = 1e-7;
pdm = 0.99945;
pda = 0.99812;
% calculate the improvement factor
Im = improv_fac(np,pfa, pdm);
Ia =