1
GATE ECE 2014 Set 3
Numerical
+2
-0
Let $${X_1},\,{X_2},$$ and $${X_3}$$ be independent and identically distributed random variables with the uniform distribution on $$\left[ {0,\,1} \right]$$. The probability $$P\left\{ {{X_1} + {X_2} \le {X_3}} \right\}$$ is ___________ .
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2
GATE ECE 2014 Set 2
Numerical
+2
-0
The power spectral density of a real stationary random process X(t) is given by
$$${S_x}\left( f \right) = \left\{ {\matrix{
{{1 \over W},\left| f \right| \le W} \cr
{0,\left| f \right| > W} \cr
} } \right.$$$
The value of the expectation
$$$E\left[ {\pi X\left( t \right)X\left( {t - {1 \over {4W}}} \right)} \right]$$$
is ---------------.
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3
GATE ECE 2014 Set 1
MCQ (Single Correct Answer)
+2
-0.6
Consider a random process $$X\left( t \right) = \sqrt 2 \sin \left( {2\pi t + \varphi } \right),$$ where the random phase $$\varphi $$ is uniformly distributed in the interval $$\left[ {0,\,\,2\pi } \right].$$ The auto - correlation $$E\left[ {X\left( {{t_1}} \right)X\left( {{t_2}} \right)} \right]$$ is
4
GATE ECE 2014 Set 1
Numerical
+2
-0
Let $$Q\left( {\sqrt y } \right)$$ be the BER of a BPSK system over an AWGN channel with two - sided noise power spectral density N0/2. The parameter 𝛾 is a function of bit energy and noise power spectral density. A system with two independent and identical AWGN channels with noise power spectral density N0/2 is shown in the figure. The BPSK demodulator receives the sum of outputs of both the channels
If the BER of this system is $$Q\left( {b\sqrt y } \right),$$ then the value of b is -----------.
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Questions Asked from Random Signals and Noise (Marks 2)
Number in Brackets after Paper Indicates No. of Questions
GATE ECE 2024 (2)
GATE ECE 2023 (2)
GATE ECE 2022 (1)
GATE ECE 2017 Set 1 (1)
GATE ECE 2016 Set 2 (2)
GATE ECE 2016 Set 1 (1)
GATE ECE 2016 Set 3 (1)
GATE ECE 2015 Set 2 (3)
GATE ECE 2015 Set 3 (1)
GATE ECE 2014 Set 3 (3)
GATE ECE 2014 Set 2 (1)
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GATE ECE 2013 (2)
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GATE ECE 2010 (1)
GATE ECE 2008 (1)
GATE ECE 2006 (3)
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GATE ECE 1992 (1)
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GATE ECE Subjects
Network Theory
Control Systems
Electronic Devices and VLSI
Analog Circuits
Digital Circuits
Microprocessors
Signals and Systems
Representation of Continuous Time Signal Fourier Series Discrete Time Signal Fourier Series Fourier Transform Discrete Time Signal Z Transform Continuous Time Linear Invariant System Transmission of Signal Through Continuous Time LTI Systems Discrete Time Linear Time Invariant Systems Sampling Continuous Time Signal Laplace Transform Discrete Fourier Transform and Fast Fourier Transform Transmission of Signal Through Discrete Time Lti Systems Miscellaneous Fourier Transform
Communications
Electromagnetics
General Aptitude