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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