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GATE ECE (Electronics) Test: Fourier Analysis of Signals, Energy & Power


MCQ Practice Test & Solutions: Test: Fourier Analysis of Signals, Energy & Power Signals (10 Questions)

You can prepare effectively for Electronics and Communication Engineering (ECE) GATE ECE (Electronics) Mock Test Series 2027 with this dedicated MCQ Practice Test (available with solutions) on the important topic of "Test: Fourier Analysis of Signals, Energy & Power Signals". These 10 questions have been designed by the experts with the latest curriculum of Electronics and Communication Engineering (ECE) 2026, to help you master the concept.

Test Highlights:

  • - Format: Multiple Choice Questions (MCQ)
  • - Duration: 30 minutes
  • - Number of Questions: 10

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Test: Fourier Analysis of Signals, Energy & Power Signals - Question 1

The signals x1(t) and x2(t) are given by

If the periods of x1(t) and x2(t) be T1 and T2 respectively, then T1/T2 is equal to

Detailed Solution: Question 1

x1(t) = sin15πt is a periodic signal having period

x2(t) = sin√2 πt is a periodic signal having period T2 equal to 
∴ 

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 2

The Fourier transform of a unit step function is

Detailed Solution: Question 2


∴ 

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 3

Assertion (A): A frequency domain representation of a signal shows the frequency content and indicates the shape of the waveform or the combined amplitude of all the input components at any specific time.
Reason (R): In frequency domain, a signal is represented by its frequency spectrum.

Detailed Solution: Question 3

A frequency domain representation of a signal shows the frequency content but not necessarily indicate the shape of the waveform or the combined amplitude of all the input components at any specific time. Hence, assertion is a false statement. Reason is a true statement because in frequency domain, a signal is represented by its frequency spectrum and to obtain frequency spectrum of a signal, Fourier series and Fourier transform are used.

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 4

Which of the following option is not correct for obtaining the Fourier transform of a signal x(f)7

Detailed Solution: Question 4

For obtaining the Fourier transform of a signal x(t), it must have infinite number of discontinuities in any finite interval T.

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 5

Match List-I (Operations on x(t)) with List-ll (X(ω)/Fourier transform) and select the correct answer using the codes given below the lists:

Detailed Solution: Question 5

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 6

Assertion (A): The Parseval’s theorem implies superposition of the average powers.
Reason (R): The interpretation of the Parseval’s theorem is that the total average power of the signal x(t) can be found by squaring and adding the heights of the amplitude lines in the spectrum of the periodic signal x(t).

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 7

Fourier series analysis is a tool used to
1. analyse any periodic and non-periodic signal.
2. find how many frequency components are present in the signal.
3. find the relative phase difference between various frequency components.
4. represents a waveform in the form of sum of infinite number of exponential terms.
5. find the amplitude of various terms in the series.
Which of the statements given above are correct?

Detailed Solution: Question 7

Fourier series analysis is a tool used to
1. analyse any periodic signal only.
2. find how many frequency components are present in the signal.
3. find the relative phase difference between various frequency components.
4. represents a periodic waveform in the form of sum of infinite number of sine and cosine terms.
5. find the amplitude of various frequency components of the series.
Hence, statements 2, 3 and 5 are only correct.

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 8

The power spectral density of a power signal x(t) is shown in figure below.

The average power of the signal is 

Detailed Solution: Question 8

The total average power of a signal is the area of curve under s(f).
Hence,

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 9

The energy of a causal exponential pulse shown in figure is 

Detailed Solution: Question 9

Given, 
∴ Normalized energy of given signal is

Test: Fourier Analysis of Signals, Energy & Power Signals - Question 10

The Fourier transform of the decaying exponential pulse shown in figure is

Detailed Solution: Question 10

The given signal can be represented as
 (Time constant, 
∴ Fourier transform of x(t) is

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