Digital Signal Processing Reference
In-Depth Information
The M ATLAB code to determine the poles and zeros of H (z) is given by
>>B=[01 2 1]; % The numerator of H(z)
>>A=[1 0.1 0.07 0.065]; % The denominator of H(z)
>> [Z, P, K] = tf2zp(B, A);
% Calculate poles and
% zeros
The locations of the poles and zeros are given by
Z=[011]
P = [0.5000 0.2000+0.3000j 0.2000 0.3000j] andK=1.
The transfer function H ( z ) can therefore be expressed as follows:
1 )
(1 0 . 5 z 1 )(1 ( 0 . 2 + j0 . 3) z 1 )(1 ( 0 . 2 j0 . 3) z 1 )
1 )(1 1 z
1 )(1 1 z
(1 0 z
H ( z ) = 1
(1 z
1 ) 2
1 ) .
Combining the complex roots in the denominator, the cascaded configuration
is given by
=
1 )(1 ( 0 . 2 + j0 . 3) z
1 )(1 ( 0 . 2 j0 . 3) z
(1 0 . 5 z
1
1 + 0 . 4 z 1 + 0 . 13 z 2 .
The cascaded configuration is then implemented using the series form as shown
in Fig. 14.23.
1
1 z
1 z
H ( z ) =
1 0 . 5 z 1
14.10 Summary
Chapter 14 defined digital filters as systems used to transform the frequency
characteristics of the DT sequences, applied at the input of the filter, in a prede-
fined manner. Based on the magnitude spectrum H ( ) , Section 14.1 classifies
filters in four different categories. A lowpass filter removes the higher-frequency
components above a cut-off frequency c from an input sequence, while retain-
ing the lower-frequency components c . A highpass filter is the converse
of the lowpass filter and removes the lower-frequency components below a cut-
off frequency c from an input sequence, while retaining the higher-frequency
components
c . A bandpass filter retains a selected range of frequency
components between the lower cut-off frequency c1 and the upper cut-off
frequency c2 of the filter. A bandstop filter is the converse of the bandpass
filter, which rejects the frequency components between the lower cut-off fre-
quency c1 and the upper cut-off frequency c2 of the filter. All other frequency
components are retained at the output of the bandstop filter.
Section 14.2 introduces a second classification of digital filters based on the
length of the impulse response h [ k ] of the digital filter. Finite impulse response
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