Let denote an -sample complex sequence, i.e.,
. Then the spectrum of is defined by the Discrete
Fourier Transform (DFT):
The inverse DFT (IDFT) is defined by
Note that for the first time we are not carrying along the sampling
interval in our notation. This is actually the most typical
treatment in the digital signal processing literature. It is often said
that the sampling frequency is . However, it can be set to any desired
value using the substitution
However, for the remainder of this reader, we will adopt the more common
(and more mathematical) convention . In particular, we'll use the
definition for this chapter only. In this
case, a radian frequency is in units of ''radians per sample.''
Elsewhere in this course, always means ''radians persecond.'' (Of course, there's no difference when the sampling rateis really .) Another term we use in connection with the convention is normalized frequency: All normalized radian frequencies
lie in the range , and all normalized frequencies in Hz lie in
the range .
denote an
-sample complex sequence, i.e.,
. Then the spectrum of
is defined by the Discrete Fourier Transform (DFT):
in our notation. This is actually the most typical treatment in the digital signal processing literature. It is often said that the sampling frequency is
. However, it can be set to any desired value using the substitution
for this chapter only. In this case, a radian frequency
is in units of ''radians per sample.'' Elsewhere in this course,
.) Another term we use in connection with the
, and all normalized frequencies in Hz lie in the range
.
