Digital Signal Processing Reference
In-Depth Information
y
1S
ð
n
Þ¼þ
X
x
ð
n
k
Þ
X
9
19
x
ð
n
k
Þ:
k
¼
0
15
Gain values for full-cycle filters for frequency 50 Hz are identical and amount
to, (
6.28
):
2
sin
ð
p
=
N
1
Þ
¼
2
sin
ð
p
=
20
Þ
¼
12
:
78
F
1C
¼
F
1S
¼
F
¼j
W
1
ð
jX
1
Þj ¼ j
W
2
ð
jX
1
Þj ¼
therefore the magnitude measurement equation becomes:
q
y
1C
ð
n
Þþ
y
1S
ð
n
Þ
q
y
1C
ð
n
Þþ
y
1S
ð
n
Þ
X
1
¼
1
F
¼
0
:
0782
:
If the sampling frequency equals 2000 Hz, then the number of samples per
cycle is 40 and the above equations obtain the form:
y
1C
ð
n
Þ¼
X
x
ð
n
k
Þþ
X
x
ð
n
k
Þ
X
9
29
39
x
ð
n
k
Þ;
k
¼
0
k
¼
10
30
y
1S
ð
n
Þ¼
X
x
ð
n
k
Þ
X
19
39
x
ð
n
k
Þ;
k
¼
0
k
¼
20
q
y
1C
ð
n
Þþ
y
1S
ð
n
Þ
X
1
¼
0
:
0393
:
Example 8.8 For sampling frequencies 1000 and 1600 Hz derive equations of
full-cycle magnitude measurement algorithms with application of full-cycle FIR
filters with sine, cosine impulse responses windows.
Solution Output signals of the orthogonal filters (
6.37
), (
6.38
) are:
y
1C
ð
n
Þ¼
X
19
x
ð
n
k
Þ
cos
½ð
9
:
5
k
Þ
p
=
10
;
k
¼
0
y
1S
ð
n
Þ¼
X
19
x
ð
n
k
Þ
sin
½ð
9
:
5
k
Þ
p
=
10
:
k
¼
0
The gain coefficients for both filters for fundamental frequency are (for f
S
=
1000 Hz):
F
1C
¼
F
1S
¼
F
¼j
A
C
ð
jX
1
Þj ¼ j
A
S
ð
jX
1
Þj ¼
N
1
=
2
¼
10
;
thus the measurement equation becomes:
q
y
1C
ð
n
Þþ
y
1S
ð
n
Þ
q
y
1C
ð
n
Þþ
y
1
ð
n
Þ
X
1
¼
1
F
¼
0
:
1
:
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