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Discrete Time Fourier Transform
Dr.K.G.SHANTHI
Professor/ECE
shanthiece@rmkcet.ac.in
2
 Discrete Time Fourier Transform is mainly used for the analysis of
discrete signals and discrete LTI systems .
 If x(n) is the given discrete time sequence ,then X(ω)or X(ejω) is the
discrete Fourier transform of the signal x(n).
 The DTFT of x(n) is defined as
 The inverse DTFT is i.e. F–1[X(ω)] is defined as
 Then x(n) and X(ω)is called as Fourier Transform pair and the
relation is expressed as
F[x[n] = X(ω)= −∞
∞ x(n)e−jwn
F-I [X(ω)] = x(n) =
1
2𝜋 −𝜋
𝜋
𝑥 𝑛 e𝑗ω𝑛 dω
Existence of DTFT
3
The Fourier Transform exists for discrete time signal
x(n) if and only if the sequence is absolutely summable.
i.e. The sequence has to satisfy the following condition,
𝑛=−∞
∞
𝑥[𝑛] < ∞
Problems
4
5
6
7
8
9
10
11
12
13
THANK YOU ALL
14

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unit4 DTFT .pptx

  • 1. Discrete Time Fourier Transform Dr.K.G.SHANTHI Professor/ECE shanthiece@rmkcet.ac.in
  • 2. 2  Discrete Time Fourier Transform is mainly used for the analysis of discrete signals and discrete LTI systems .  If x(n) is the given discrete time sequence ,then X(ω)or X(ejω) is the discrete Fourier transform of the signal x(n).  The DTFT of x(n) is defined as  The inverse DTFT is i.e. F–1[X(ω)] is defined as  Then x(n) and X(ω)is called as Fourier Transform pair and the relation is expressed as F[x[n] = X(ω)= −∞ ∞ x(n)e−jwn F-I [X(ω)] = x(n) = 1 2𝜋 −𝜋 𝜋 𝑥 𝑛 e𝑗ω𝑛 dω
  • 3. Existence of DTFT 3 The Fourier Transform exists for discrete time signal x(n) if and only if the sequence is absolutely summable. i.e. The sequence has to satisfy the following condition, 𝑛=−∞ ∞ 𝑥[𝑛] < ∞
  • 5. 5
  • 6. 6
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. 13