Digital Signal Processing Reference
In-Depth Information
The integral on the right-hand side of the above equation includes several
impulse functions located at
= 0 , 2 π, 4 π,... Only the impulse function
located at
= 0 falls in the frequency range
= [ −π, π ]. Therefore, x 1 [ k ]
can be simplified as follows:
x 1 [ k ] = π
δ ( )d
= 1 .
−π
(ii) Using the synthesis equation, (11.28a), the inverse DTFT of X 2 ( )is
given by
π
m =−∞ δ (
1
2 π
1
2 π
X 2 ( )e j k d
2 m π )e j k d .
x 1 [ k ] =
=
2 π
0
2 π
−π
π
m =−∞ δ (
2 m π )e j k ( 0 2 m π ) d
=
0
−π
π
m =−∞ δ (
0 2 m π )e j k 0 e j k 2 m π
=
d
= 1
−π
π
m =−∞ δ (
= e j k 0
0 2 m π )d .
−π
The integral on the right-hand side of the above equation includes several
impulse functions located at
0 + 2 m π . Only one of these infinite num-
ber of impulse functions will be present in the frequency range
=
= [ −π, π ].
Therefore, the integral will have a vaue of unity and the function x 2 [ k ] can be
simplified as follows:
x 2 [ k ] = e j k 0 .
Table 11.2 lists the DTFT and DTFS representations for several DT sequences.
In situations where a DT sequence is aperiodic, the DTFS representation is
not possible and therefore not included in the table. The DTFT of the peri-
odic sequences is determined from its DTFS representation and is covered in
Section 11.4.
Table 11.3 plots the DTFT for several DT sequences. In situations where a
DT sequence or its DTFT is complex, we plot both the magnitude and phase
components. The magnitude component is shown using a bold line, and the
phase component is shown using a dashed line.
Example 11.7 illustrates the calculation of a DT function from its DTFT
using Eq. (11.28a). In many cases, it may be easier to calculate a DT
function from its DTFT using the partial fraction expansion and the DTFT
pairs listed in Table 11.2. This procedure is explained in more detail in
Search WWH ::




Custom Search