MODULE 4 Flashcards

1
Q

CONTINUOUS-TIME FOURIER TRANSFORM

A

The continuous time Fourier transform (CTFT) is a signal processing operation that transforms a continuous-time signal into a continuous frequency signal

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2
Q

WELL-DEFINED FOURIER TRANSFORM

A

The FT does not contain undefined and/or Infinite values.

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3
Q

MATHEMATICAL FORMULA (CTFT)

A

X(ω)=∫_(-∞)^∞▒〖x(t) e^(-jωt) dt〗

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4
Q

EXISTENCE OF FOURIER TRANSFORM

A

A Continuous Time Signal has CTFT if it is either an Energy or a Power Signal.
In example, NENP signal (except for δ(t)) has no CTFT.

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5
Q

e^(-at) u(t)

A

1/(a+jω)

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6
Q

e^(-a|t| )

A

2a/(a^2+ω^2 ),a>0

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7
Q

〖t ∙e〗^(-at) u(t)

A

1/(a+jω)^2

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8
Q

Sgn(t)

A

2/jω

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9
Q

Sa(at)

A

π/a rect (ω/2a)

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10
Q

rect(t/T)

A

T Sa(ωT/a)

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11
Q
  1. LINEARITY
A

x_1 (t)↔X_1 (ω)
x_2 (t)↔X_2 (ω)
〖ax〗_1 (t)+bx_2 (t)↔ax_1 (ω)+bx_2 (ω)

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12
Q
  1. TIME SHIFTING
A

x(t-t_0 )↔e^(-jωt_0 ) x(ω)
x(t+t_0 )↔e^(jωt_(0 ) ) x(ω)

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13
Q
  1. TIME SCALING
A

x(at)↔1/|a| X(ω/a)
NOTE: Divide all ω by a

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14
Q
  1. TIME FOLDING
A

x(-t)↔ X(-ω)
NOTE: Put negative sign in all ω

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15
Q
  1. FREQUENCY SHIFT
A

e^jωt x(t)↔ X(ω-ω_0 )
e^(-jωt_ ) x(t)↔ X(ω+ω_0 )

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16
Q
  1. DUALITY
A

x(t)↔X(ω)
X(t)↔2πx(-ω)

17
Q
  1. TIME DIFFERENTATION
A

d^n/〖dt〗^n [x(t)]=〖(jω)〗^n X(ω)

18
Q
  1. FREQUENCY DIFFERENTATION
A

tx(t)↔j d/dω [X(ω)]

19
Q
  1. MULTIPLICATION PROPERTY
A

〖x_1 (t)x〗_2 (t)↔X_1 (ω)∙X_2 (ω)
〖x_1 (t)∙x〗_2 (t)↔1/2π (X_1 (ω)
X(ω))

20
Q
  1. AREA PROPERTY
A

X(ω)=∫(-∞)^∞▒x(t) e^(-jωt) dt
X(0)=∫
(-∞)^∞▒x(t) dt=AREA
INVERESE FT
x(t)=1/2π ∫(-∞)^∞▒x(ω) e^jωt dω
x(0)=1/2π ∫
(-∞)^∞▒x(ω) dω=AREA

21
Q

PARSEVAL’S THEOREM

A

(-∞)^∞▒|x(t)|^2 dt=1/2π ∫(-∞)^∞▒|X(ω)|^2 dω

22
Q

1

A

2πδ(ω)

23
Q

cos(ωt)

A

π[δ(ω-ω)+δ(ω+ω)]

24
Q

sin(ωt)

A

jπ[δ(ω-ω)-δ(ω+ω)]