The Fourier Transform Saravanan Vijayakumaran sarva@ee.iitb.ac.in - - PowerPoint PPT Presentation

the fourier transform
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The Fourier Transform Saravanan Vijayakumaran sarva@ee.iitb.ac.in - - PowerPoint PPT Presentation

The Fourier Transform Saravanan Vijayakumaran sarva@ee.iitb.ac.in Department of Electrical Engineering Indian Institute of Technology Bombay July 20, 2012 1 / 13 Definition Fourier transform x ( t ) e j 2 ft dt X ( f ) =


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The Fourier Transform

Saravanan Vijayakumaran sarva@ee.iitb.ac.in

Department of Electrical Engineering Indian Institute of Technology Bombay

July 20, 2012

1 / 13

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Definition

  • Fourier transform

X(f) = ∞

−∞

x(t)e−j2πft dt

  • Inverse Fourier transform

x(t) = ∞

−∞

X(f)ej2πft df

  • Notation

x(t) − ⇀ ↽ − X(f)

2 / 13

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Properties of Fourier Transform

  • Linearity

ax1(t) + bx2(t) − ⇀ ↽ − aX1(f) + bX2(f)

  • Duality

X(t) − ⇀ ↽ − x(−f)

  • Conjugacy

x∗(t) − ⇀ ↽ − X ∗(−f)

  • Time scaling

x(at) − ⇀ ↽ − 1 |a|X f a

  • 3 / 13
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Properties of Fourier Transform

  • Time shift

x(t − t0) − ⇀ ↽ − e−j2πft0X(f)

  • Modulation

x(t)ej2πf0t − ⇀ ↽ − X(f − f0)

  • Convolution

x(t) ⋆ y(t) − ⇀ ↽ − X(f)Y(f)

  • Multiplication

x(t)y(t) − ⇀ ↽ − X(f) ⋆ Y(f)

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Properties of Fourier Transform

  • Parseval’s theorem

−∞

x(t)y∗(t) dt = ∞

−∞

X(f)Y ∗(f) df

  • Rayleigh’s theorem

−∞

|x(t)|2 dt = ∞

−∞

|X(f)|2 df

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Properties of Fourier Transform

  • Differentiation

dn dtn x(t) − ⇀ ↽ − (j2πf)nX(f)

  • Differentiation in frequency

tnx(t) − ⇀ ↽ − j 2π n dn df n X(f)

  • Integration

t

−∞

x(τ) dτ − ⇀ ↽ − X(f) j2πf + 1 2X(0)δ(f)

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Dirac Delta Function

  • Zero for nonzero arguments

δ(t) = 0, ∀t = 0

  • Unit area

−∞

δ(t) dt = 1

  • Sifting property

−∞

x(t)δ(t − t0) dt = x(t0)

  • Fourier transform

δ(t) − ⇀ ↽ − ∞

−∞

δ(t)e−j2πft dt = 1

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Fourier Transforms using Dirac Function

  • DC Signal

1 − ⇀ ↽ − δ(f)

  • Complex Exponential

ej2πfct − ⇀ ↽ − δ(f − fc)

  • Sinusoidal Functions

cos(2πfct) − ⇀ ↽ − 1 2[δ(f − fc) + δ(f + fc)] sin(2πfct) − ⇀ ↽ − 1 2j [δ(f − fc) − δ(f + fc)]

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Signum Function

sgn(t) =    +1, t > 0 0, t = 0 −1, t < 0

−2 −1 1 2 −2 −1 1 2 t

Fourier Transform sgn(t) − ⇀ ↽ − 1 jπf

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Signum Function

g(t) =    e−at, t > 0 0, t = 0 −eat, t < 0

−2 −1 1 2 −2 −1 1 2 t a=1.5 a=0.5

sgn(t) = lim

a→0+ g(t)

G(f) = −j4πf a2 + (2πf)2

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Unit Step Function

u(t) =    1, t > 0

1 2,

t = 0 0, t < 0

−2 −1 1 2 −2 −1 1 2 t

Fourier Transform u(t) − ⇀ ↽ − 1 j2πf + 1 2δ(f) u(t) = 1 2[sgn(t) + 1]

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Rectangular Pulse

Π(t) = 1, |t| ≤ 1

2

0, |t| > 1

2

−2 −1 1 2 −1 1 2 t

Fourier Transform Π t T

⇀ ↽ − Tsinc(fT)

−4 −2 2 4 −1 1 2 f

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Thanks for your attention

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