Fourier Transform Flashcards

(21 cards)

1
Q

Fourier Transform is the expansion of the concepts from Fourier Series to ____ signals.

A

aperiodic

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2
Q

What does an LTI system’s frequency response describe?

A

It tells how the system affects different frequencies of the input signal. H(w) = Y(w)/X(w)

Where H(w) is frequency response, Y and X are the Fourier transforms of output and input, respectively

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3
Q

What does X(ω) represent in the context of Fourier Transform?

A

Magnitude and angle of each frequency component of the signal

X(w) is a representation of the signal in the frequency domain.

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4
Q

Fill in the blank: The Fourier Transform is used to analyze signals in terms of their _______.

A

frequency components

It helps in understanding the frequency components of a signal.

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5
Q

What is the Inverse Fourier Transform integral definition?

A

This equation is used to recover the original signal from its frequency representation.

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6
Q

In the context of the Fourier Transform, what does convergence refer to?

A

The integral converges to a finite value

This is essential for the Fourier Transform to be valid.

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7
Q

True or false: The Fourier Transform guarantees a finite transform for all signals.

A

FALSE

Only certain conditions must be met for the integral to converge to a finite value.

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8
Q

What does it mean for a signal to be absolutely integrable?

A

The integral of the absolute value of the signal is a finite value

This is a requirement for the Fourier Transform to exist.

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9
Q

What is the condition for a signal to be considered square integrable?

A

The integral of the square of the signal is finite

This condition is important for certain applications in signal processing.

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10
Q

What is the Fourier Transform used for?

A

Frequency domain analysis (useful for communication systems and sampling)

The Fourier Transform decomposes signals into their constituent frequencies.

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11
Q

The Fourier Series can be used to obtain the Fourier Transform of __________.

A

periodic signals

Fourier Series represents a periodic function as a sum of sine and cosine functions.

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12
Q

True or false: The Fourier Transform can be applied to non-periodic signals.

A

TRUE

The Fourier Transform can analyze both periodic and non-periodic signals.

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13
Q

What does the notation FT stand for?

A

Fourier Transform

It is a mathematical transform used in signal processing.

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14
Q

What is the Fourier Transform (FT) equation for a signal x(t)?

A

This equation represents the transformation of a time-domain signal into its frequency-domain representation.

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15
Q

What is the linearity property of the Fourier Transform?

A
  • Magnitude scaling in the time domain results in scaling in the frequency domain
  • Adding signals in the time domain results in adding transforms in the frequency domain

This property states that the Fourier Transform of a linear combination of signals is the same linear combination of their Fourier Transforms.

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16
Q

x(t) has FT X(ω) = 2ω
If y(t) = x(t-2), what is Y(ω)?

A

Shifting a signal in time results in a phase shift in its Fourier Transform.

17
Q

If X(ω) corresponds to x(t) = -t, what is y(t) if Y(ω) = X(ω-3)?

A

This property indicates that shifting a signal in frequency results in modulation in the time domain.

18
Q

If x(t) has FT X(ω)=2ω, what is Y(ω) if y(t) = x(3t)?

A

Scaling a signal in time compresses or expands its frequency representation.

19
Q

What is the LTI system input/output relationship in the frequency domain?

A

Y(ω) = H(ω)X(ω)

This equation describes the output of a Linear Time-Invariant (LTI) system in terms of its input and impulse response.

20
Q

What property is used to get H(w) of the system from a linear constant coefficient ODE system description?

A

Use the differentiation property

This property relates the frequency response of the system to its time-domain behavior.

21
Q

What does H(w) represent in the context of LTI systems?

A

It represents the frequency response of the system

The frequency response describes how the system responds to different frequencies of input signals.