1. Power spectral density function is a?

A. Real and even function

B.Non-negativee function

C. Periodic

D. All of the mentioned

2. Energy spectral density defines

A. Signal energy per unit area

B. Signal energy per unit bandwidth

C. Signal power per unit area

D. Signal power per unit bandwidth

3. Power spectrum describes distribution of _________ under frequency domain.

A. Mean

B. Variance

C. Gaussian

D. None of the mentioned

4. How can the power spectral density of anon-periodic signals calculate?

A. By integrating

B. By truncating

C. By converting to periodic

D. None of the mentioned

5. What is the Wiener-Khinchin theorem?

A. Spectral density and auto-covariance make Fourier transform pair

B. Spectral density and autocorrelation make aFourierrtransformm pair

C. Spectral density and variance make aFourierrtransformm pair

D. None of the mentioned

6. According to Parseval’s theorem the energy spectral density curve is equal to?

A. Area under the magnitude of the signal

B. Area under the square of the magnitude of the signal

C. Area under the square root of magnitude of the signal

D. None of the mentioned

7. Spectogram is the graph plotted against?

A. Frequency domain

B. Time domain

C. Frequency & Time domain

D. None of the mentioned

8. Autocorrelation is a function that matches

A. Two same signals

B. Two different signal

C. One signal with its delayed version

D. None of the mentioned

9. Autocorrelation is a function of

A. Time

B. Frequency

C. Time difference

D. Frequency difference

10. Autocorrelation is maximum at _______

A. Unity

B. Origin

C. Infinite point

D. None of the mentioned