Electronics and Communication Engineering (ECE) Exam > Electronics and Communication Engineering (ECE) Tests > GATE ECE (Electronics) Mock Test Series 2025 > Test: Continuous Time Fourier Transformer (CTFT)- 1 - Electronics and Communication Engineering (ECE) MCQ
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Electronics and Communication Engineering (ECE) MCQ
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10 Questions MCQ Test GATE ECE (Electronics) Mock Test Series 2025 - Test: Continuous Time Fourier Transformer (CTFT)- 1
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Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 1
If f(t) is an even function, then what is its fourier transform F (jω)?
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 2
If the fourier transform of f(t) is f(jω), then what is the fourier transform of f(-t) ?
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Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 3
The fourier transform of real value time signal has
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 4
The signal x(t) is a real and odd function of ‘t’ the x(ω) is
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 5
A linear system has the transfer function 
When it is subjected to an input white noise process with a constant spectral dencity ‘A’ the spectral density of the output will be
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 6
The auto -correlation of a wide sense stationary random process is given by e-2|τ|. The peak valve of the spectral density is
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 7
Which one of the following is the correct fourier transform of the unit step signal?
u(t) = 1 for t > 0
= 0 for t < 0
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 8
The fourier transform of a conjugate symmetric function is always
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 9
The inverse fourier transform of sgn(f)
Detailed Solution for Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 9
Test: Continuous Time Fourier Transformer (CTFT)- 1 - Question 10
Fourier transform f(jω) of an arbitrary signal has the property
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