Quizzes Flashcards

(35 cards)

1
Q
A

x(t) = 10u(t) - 20u(t-2) + 10u(t-4)

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2
Q

What is a System?

A

A system is a process or device that transforms an input signal into an output signal according to a specific rule or function.

It can be described mathematically as a mapping or operator, often represented as y(t) = T{x(t)}

where
- x(t) is the input signal
- y(t) is the output signal
- T is the system transformation.

Examples include amplifiers, filters, or communication channels.

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3
Q
A

Even Symmetry

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4
Q

If x(t) = t^3 and y(t)=8t^3 : what type of transformation relates x(t) to y(t)?

A

Time scaling with a factor of 2

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5
Q

Analog Signal

A

Amplitude assumes any value within a continuous range

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6
Q

Digital Signal

A

Amplitude has been quantized

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7
Q

Discrete Signal

A

Defined only for certain moments in time

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8
Q

Continuous Signal

A

Defined for every instance in time

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9
Q

Causal Signal

A

Only depends on present and past values

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10
Q

Non-causal Signal

A

Not only depends on past and present values, but also future values

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11
Q

  • Noncausal
  • Digital Signal
  • Continuous-time
  • Analog
  • Unidimensional
  • Causal
  • Energy
  • Power
  • Period=10s
  • Period=(2*pi)/10
  • Multidimensional
  • Discrete-time

A
  • Noncausal
  • Continuous-time
  • Analog
  • Unidimensional
  • Power
  • Period=10s
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12
Q

If x(t)=t^2 and y(t)=16t^2 : What type of transformation relates x(t) to y(t)?

A

Time scaling with a factor of 4

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13
Q

True/False: Periodic signals are always energy signals.

A

False

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14
Q

Compute the Integral:

A

4

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15
Q

True/False: An arbitrary signal x(t) can be both an energy signal and a power signal.

A

False

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16
Q

True/False: A signal can be classified as linear and time-invariant.

A

False

These are terms for a system not a signal

17
Q

__________ allows us to breakdown a complex input into a sum of simple ones, find the output to each simple input and then add all the outputs.

A

An LTI System

LTI= Linear and Time-Invariant

18
Q

Using the impulse response of an LTI system, the output y(t) may be determined in response to an arbitrary input by applying the __________.

19
Q

Given the impulse response of a system, to find the step response, you need to ___________________.

A

Integrate the impulse response

20
Q

What is the impulse response of a system?

A

The output signal from a system was when an Impulse function is the input signal.

21
Q

Fourier Analysis helps us decompose an input signal as:

A

The sum of complex exponentials

22
Q

True/False: Fourier Series are used to represent periodic signals of any form.

23
Q
24
Q

True/False: Fourier analysis can be used for all types of input signals, including signals that grow.

25
If the input to an LTI system is, x(t)=2cos(3t), explain how can we find out the output of this LTI system (without computing the convolution integral)?
Find the frequency domain equivalent of the signal and multiply it by the frequency domain equivalent of the signal h(t) into H(w) and x(t) into X(w). h(t) is not a signal, it is the impulse response of the system. If you are multiplying in the frequency domain, you need to bring that back to the time domain. However, for the type of input signal given, it is only necessary to find the frequency response of the system.
26
True/False: The sine/cosine (Full series) and the amplitude/phase (Compact series) representation of the Fourier series are used only if x(t) is real-valued.
True
27
If the input to an LTI system is, x(t)=2cos(3t), explain how can we find out the output of this LTI system (without computing the convolution integral)?
* Use the frequency response (H(omega)). * For input (x(t) = 2cos(3t) = e^{i3t} + e^{-i3t} ), the output is (y(t) = H(3)e^{i3t} + H^*(3)e^{-i3t} = 2|H(3)|cos(3t + angle H(3))). * Evaluate (H(3) \) to find the magnitude and phase.
28
The Fourier series reveals how an LTI system reshapes each harmonic by:
* scaling the amplitudes of the harmonics * shifting the phases of the harmonics
29
True/False: Parseval's relations for the Fourier series illustrate that the energy of an aperiodic signal can be computed from its Fourier coefficients.
False
30
The __________ representation of the Fourier Series is characterized by a two-sided line spectra.
Exponential
31
True/False: Signals that are neither energy nor power signals do not have a Fourier Transform.
True
32
Explain one advantage of calculating the energy of a signal in the frequency domain rather than the time domain.
The math can be much simpler than in the time domain.
33
True/False: The magnitude spectrum |X(f)| alone is sufficient to completely reconstruct the original signal x(t) from its Fourier Transform.
False
34
The _________ property allows us to derive new Fourier transform pairs from known pairs by swapping the time and frequency variables.
duality
35
If a signal is absolutely integrable and square integrable, it guarantees that the signal has a
Fourier transform