Signals, Spectra, and Signal Processing
Autor: ralph1997 • October 1, 2017 • Course Note • 412 Words (2 Pages) • 619 Views
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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