Biomedical Engineering Reference
In-Depth Information
and obtain
M
L
M
L
ʱ
1
2
1
2
1 ʻ j ʱ A j ,
log
j ʱ )
j
=
1
=
1
j
=
1
=
j = 1 ʻ j A j , 1
0
...
0
j = 1 ʻ j A j , 2 ...
0
0
M
2 ʱ 1
1
2
=
. . .
0
0
0
... j = 1 ʻ j A j , L
0
0
1
2 (
ʱ 1
A T
=
M
diag
[
A
ʛ
] ),
(5.77)
where diag
indicates a diagonal matrix whose diagonal entries are equal to those
of a matrix in the brackets. 4
[·]
The relationship
M
M
M
M
1
ʻ j [ ʨ 1
1 ʻ j A j ,
=
A j , +
A j , +
[ ʨ 1
E A
1 ʻ j
1 ʻ j
] , =
1 ʻ j
M
] ,
j
=
j
=
j
=
j
=
also holds. (Note that Eq. ( 5.168 ) shows the general case of computing E A [
A i , k A j , ]
.)
Thus, we finally obtain
M
L
M
L
ʱ F [ ʱ , ʛ ]=
ʱ
1
2
1
2
1 ʻ j ʱ A j ,
E A
log
j ʱ )
j
=
1
=
1
j
=
1
=
j = 1 ʻ j
A j , 1
...
0
0
j = 1 ʻ j
A j , 2 ...
0
0
1
2 M
1
2
ʱ 1
=
. . .
0
0
0
... j = 1 ʻ j
A j , L
0
0
[ ʨ 1
] 1 , 1
0
...
0
[ ʨ 1
0
] 2 , 2 ...
0
1
2 M
. . .
0
0
0
... [ ʨ 1
] L , L
0
0
1
2 (
[ ¯ A T
ʛ ¯ A
ʱ 1
[ ʨ 1
=
M
diag
]−
M diag
] ).
(5.78)
4 Here computing the derivative of a scalar X with a diagonal matrix A is equal to creating a diagonal
matrix whose
(
j
,
j
)
th diagonal element is equal to
X
/∂
A j , j where A j , j is the
(
j
,
j
)
th diagonal
element of A .
 
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