Signal Transformations, Properties and Models Flashcards

1
Q

Define a continuous time signal (CT)

A

A signal that is defined as a continous function of time
x(t)

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2
Q

Define a discrete signal (DT)

A

A discrete function of time has samples taken at a number of intervals
x[n]

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3
Q

Define a DT sinusoid signal

A

x[n] = Acos(wn +ø)
ø is the phase difference
where w = 2πq/r

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4
Q

Define a DT unit impulse

A

∂[0] = 1
otherwise ∂[n] = 0

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5
Q

Define a DT unit step

A

u[n] = ∑∂[n-k]

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6
Q

Give an example of a CT unit step in real life

A

A DC power supply being switched on to a fixed value.

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7
Q

Explain the CT unit impulse in terms of the dirac delta function

A

The width of the signal is infinitely small
-The area of the pulse is 1 ( ∫d(t) = 1)
-d(t) = ∂u(t)/ ∂t

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8
Q

How can a CT unit pulse be written in terms of unit steps?

A

u(t+n) - u(t-n)

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9
Q

When is Fourier transform used instead of fourier series?

A

When the signal is non-periodic

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10
Q

For Fourier Transform, what does X(w) mean?

A

X(w) is the fourier transform of x(t)
-X(w) provides an alternative view of x(t) in the frequency domain ƒ

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11
Q

what is the process for finding the fourier series coefficient?

A
  • Sketch the signal and find the fundamental period/ w
    -use the formula for the fourier series coefficient
    ak = 1/T0 ∫ x(t) e^(-jk(wk)t)
  • find values for ak when k =0 and when k≠0
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12
Q

What is the formula for fourier transform?

A

X(w) = ∫x(t) e^ - (jwt) dt

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