Digital Signal Processing Reference
In-Depth Information
Appendix E: Finite Impulse Response Filter
Design Equations by the Frequency
Sampling Design Method
Recall in Section 7.5 in Chapter 7 on the “Frequency Sampling Design Method” that we obtained
N 1
k ¼ 0 HðkÞW kn
1
N
hðnÞ¼
(E.1)
N
where hðnÞ ,0 n N 1, is the causal impulse response that approximates the finite impulse
response (FIR) filter, HðkÞ ,0 k N 1, represents the corresponding coefficients of the discrete
Fourier transform (DFT), and W N ¼ e j
2 p
N . We further write the DFT coefficients, HðkÞ ,0 k
N 1, in polar form:
HðkÞ¼H k e j 4 k ; 0 k N 1
(E.2)
where H k and 4 k are the k th magnitude and the phase angle, respectively. The frequency response of
the FIR filter is expressed as
N 1
0 hðnÞe jn U
Hðe j U Þ¼
(E.3)
Substituting (E.1) into (E.3) yields
N 1
N 1
k ¼ 0 HðkÞW k N e j U n
1
N
Hðe j U Þ¼
(E.4)
0
Interchanging the order of the summation in Equation (E.4) leads to
N 1
k ¼ 0 HðkÞ
N 1
0 ðW N e j U Þ n
1
N
Hðe j U Þ¼
(E.5)
Since W N e j U ¼ðe j 2 p =N Þ k e j U ¼ e ðj U 2 p k=NÞ and using the identity P N 1
0 r n ¼ 1 þ r þ
1 r N
1 r
þ / þ r N 1
2
r
¼
, we can write the second summation in Equation (E.5) as
 
 
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