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Fourier Analysis of Discrete Time Signals

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Fourier Analysis of Discrete Time Signals For a discrete time sequence we define two classes of Fourier Transforms: the DTFT (Discrete Time FT) for sequences having ... – PowerPoint PPT presentation

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Title: Fourier Analysis of Discrete Time Signals


1
Fourier Analysis of Discrete Time Signals
  • For a discrete time sequence we define two
    classes of Fourier Transforms
  • the DTFT (Discrete Time FT) for sequences
    having infinite duration,
  • the DFT (Discrete FT) for sequences having
    finite duration.

2
The Discrete Time Fourier Transform (DTFT)
Given a sequence x(n) having infinite duration,
we define the DTFT as follows
..
..
continuous frequency
discrete time
3
  • Observations
  • The DTFT is periodic with period
  • The frequency is the digital frequency and
    therefore it is limited to the interval

Recall that the digital frequency is a
normalized frequency relative to the sampling
frequency, defined as
one period of
4
Example
since
5
Example
6
Discrete Fourier Transform (DFT) Definition
(Discrete Fourier Transform) Given a finite
sequence
its Discrete Fourier Transform (DFT) is a finite
sequence
where
7
Definition (Inverse Discrete Fourier Transform)
Given a sequence
its Inverse Discrete Fourier Transform (IDFT) is
a finite sequence
where
8
  • Observations
  • The DFT and the IDFT form a transform pair.

DFT
IDFT
back to the same signal !
  • The DFT is a numerical algorithm, and it can be
    computed by a digital computer.

9
DFT as a Vector Operation
Let
Then
10
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11
Periodicity From the IDFT expression, notice
that the sequence x(n) can be interpreted as one
period of a periodic sequence
original sequence
periodic repetition
12
This has a consequence when we define a time
shift of the sequence.
For example see what we mean with
. Start with the periodic extension
13
If we look at just one period we can define the
circular shift
A
B
C
D
D
14
  • Properties of the DFT
  • one to one with no ambiguity
  • time shift
  • where is a circular shift

periodic repetition
15
  • real sequences
  • circular convolution

where both sequences must have the
same length N. Then
16
Extension to General Intervals of Definition
Take the case of a sequence defined on a
different interval
How do we compute the DFT, without reinventing a
new formula?
17
First see the periodic extension, which looks
like this
Then look at the period
18
Example determine the DFT of the finite sequence
Then take the DFT of the vector
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