Treść książki
Przejdź do opcji czytnikaPrzejdź do nawigacjiPrzejdź do informacjiPrzejdź do stopki
36
Binarytomographicimagereconstruction000
distance
0.9
0.8
0.7
0.6
0.5
0.4
50
100
iterationno.
150
β=0.05,δ=0.01,T
β=0.1,δ=0.01,T
β=0.3,δ=0.01,T
200
0
0
0
=0.5,K
=0.5,K
=0.5,K
250
c
c
=40
=40
c
=40
300
distance
0.95
0.85
0.75
0.65
0.9
0.8
0.7
0.6
1
50
100
iterationno.
150
β=0.05,p=1.5,T
β=0.01,p=1.5,T
β=0.05,p=1.1,T
β=0.05,p=1.9,T
200
0
0
0
0
=0.5,K
=0.5,K
=0.5,K
=0.5,K
250
c
c
c
c
=40
=40
=40
=40
relativeerror
0.35
0.25
0.15
0.05
0.3
0.2
0.1
50
100
iterationno.
150
β=0.05,δ=0.01,T
β=0.1,δ=0.01,T
β=0.3,δ=0.01,T
200
0
0
=0.5,K
0
=0.5,K
=0.5,K
250
c
c
c
=40
=40
=40
relativeerror
0.35
0.25
0.15
0.4
0.3
0.2
0.1
50
100
iterationno.
150
β=0.05,p=1.5,T
β=0.01,p=1.5,T
β=0.05,p=1.1,T
β=0.05,p=1.9,T
200
0
0
0
0
=0.5,K
=0.5,K
=0.5,K
=0.5,K
250
c
c
c
c
=40
=40
=40
=40
Figure107:Distances(left)andrelativeerrors(right)obtainedfromnoisydata(SNR1
20dB)withAlgorithm3forKc140,T010.5:(top)∆V
j
(GR)
(δ10.01);(bottom)
∆V
j
(BS)
(p11.5)
Figure108:Imagesreconstructedfromnoise-freedatawithAlgorithm4fork1300:
δ120,;150(left);δ1100,;150(middle);δ1100,;1500(right)
