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Signals, Spectra, and Signal Processing

Autor:   •  October 1, 2017  •  Course Note  •  412 Words (2 Pages)  •  542 Views

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Topic: Signals, Spectra, and Signal Processing

1.Which characteristic of a signal provides a measure of the extent of significant spectral content of the signal for positive frequencies?


Ans: bandwidth

2. A ______ is a frequency-selective device that is used to limit the spectrum of a signal to some specified band of frequencies


Ans: filter

3. Which is not a method of data compression?


Ans: Winzip

4. All of these are IIR Filter design techniques except


Ans: Frequency sampling

5. A ______ is a function that is defined for all time t contained in some interval on the real line


Ans: continuous-time (CT) signal

6. Convolution relates three signals: the input signal, the output signal, and the ______.


Ans: impulse response

7. What are the FIR Filter advantages?

  • They can have exactly linear phase
  • They are always stable
  • Startup transients are finite in duration
  • All of these  (Correct Answer)

8. A ______ is any process that produces an output signal in response to an input signal


Ans: system

9. ______ defines the distribution of energy or power per unit bandwidth as a function of frequency.


Ans: spectral density

10. An impulse signal in the time domain is represented as a _______ in the frequency domain


Ans: dc signal

11. This is a requirement for linearity

  • homogeneity  
  • additivity
  • shift invariance
  • all of these  (Correct Answer)

12. What are the IIR Filter advantages?

  • Lower order for same specs  
  • Lower group delay
  • Less arithmetic involved
  • All of these  (Correct Answer)

13. All of these are FIR Filter design techniques except:

  • Windowing  
  • Modeling of desired impulse response  (Correct Answer)
  • Equiripple or Minimax Design
  • Least squares

14. ______ is a compression standard for digital video sequences, such as used in computer video and digital television networks


Ans: MPEG

15. This Fourier Transform property states that if a function v(t) is shifted in the positive direction by an amount t0, the effect is equivalent to multiplying its Fourier transform V(f) by the factor exp(-j2 * pi * ft0).


Ans: Time shifting

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