Digital Communications Spectral Density Autocorrelation Online Exam Quiz

Digital Communications Spectral Density Autocorrelation GK Quiz. Question and Answers related to Digital Communications Spectral Density Autocorrelation. MCQ (Multiple Choice Questions with answers about Digital Communications Spectral Density Autocorrelation

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

Options

A : Area under magnitude of the signal

B : Area under square of the magnitude of the signal

C : Area under square root of magnitude of the signal

D : None of the mentioned

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How can power spectral density of non periodic signal be calculated?

Options

A : By integrating

B : By truncating

C : By converting to periodic

D : None of the mentioned

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Autocorrelation function of periodic signal is equal to _______

Options

A : Energy of the signal

B : Power of the signal

C : Its area in frequency domain

D : None of the mentioned

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Spectogram is the graph plotted against?

Options

A : Frequency domain

B : Time domain

C : Frequency & Time domain

D : None of the mentioned

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Power spectrum describes distribution of _________ under frequency domain.

Options

A : Mean

B : Variance

C : Gaussian

D : None of the mentioned

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Autocorrelation is a _______ function.

Options

A : Real and even

B : Real and odd

C : Complex and even

D : Complex and odd

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Power spectral density function is a?

Options

A : Real and even function

B : Non negative function

C : Periodic

D : All of the mentioned

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Energy spectral density defines

Options

A : Signal energy per unit area

B : Signal energy per unit bandwidth

C : Signal power per unit area

D : Signal power per unit bandwidth

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What is Wiener-Khinchin theorem?

Options

A : Spectral density and auto-covariance makes a fourier transform pair

B : Spectral density and auto-correlatioon makes a fourier tranform pair

C : Spectral density and variance makes a fourier tranform pair

D : None of the mentioned

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Autocorrelation function of white noise will have?

Options

A : Strong peak

B : Infinite peak

C : Weak peak

D : None of the mentioned

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