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ECE · all questions

Signal Processing
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A periodic signal x(t) has a trigonometric Fourier series expansion
If      we can conclude that

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The transfer function of a linear system is the

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Match List-I with List-II and select the correct answer using the options given below:
List-I (Function) List-II (Fourier Transforms)
a. 1.
b. 2.
c.     3.
d. 4.

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The Fourier Transform of a function x(t) is X(f). The Fourier transform of  will be

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A finite duration discrete-time signal x(n) is obtained by sampling the continuous-time signal x(t) = cos(200πt) at sampling instant t = n/400, n = 0, 1, . . . , 7. The 8-point discrete Fourier transform (DFT) of x(n) is defined as
Which one of the following statements is true?

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In inverse DTFT, the . . . . . . . . is defined between -π to π because of the property.

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If random process X(t) and Y(t) are orthogonal then

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Consider a system whose input x and output y are related by the equation

where h(t) is shown in the graph
Which of the following four properties are possessed by the system?
BIBO: Bounded input gives a bounded output
Causal : The system is causal
LP : The system is low pass
LTI : The system is linear and time-invariant
Signal Processing mcq question image

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Which of the following is the correct statement?
The region of the convergence of z-transform of x[n] consists of the value of z for which x[n]r-n is

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About the Fourier series expansion of a periodic function it can be said that

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A system which has a unique relationship between its input and output is called

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Laplace transform of the function v(t) shown in the figure is:
Signal Processing mcq question image

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Let x(t) be the input and y(t) be the output of a continuous time system. Match the system properties P1, P2 and P3 with system relations R1, R2, R3, R4
Properties
P1: Linear but NOT time-invariant
P2: Time-invariant but NOT linear
P3: Linear and time-invariant
Relations
R1: y(t) = t2x(t)
R2: y(t)= t|x(t)|
R3: y(t) = |x(t)|
R4: y(t) = x(t - 5)

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A system whose impulse response is zero outside of some finite interval is termed as

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For separating channels in FDM receivers

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The probability cumulative distribution function must be monotone and

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Given that x1(t) = ek1tu(t) and x2(t) = e-k2tu(t). Which one of the following gives their convolution?

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What is the magnitude square function of a normalized Butterworth filter to 1 rad/sec cut-off frequency as

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If F(s) and G(s) are the Laplace transform of f(t) and g(t), then their product F(s).G(s) = H(s), where H(s) is the Laplace transform of h(t), is defined as

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Which one of the following statements is correct for the given system?

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