1

GATE ECE 2004

MCQ (Single Correct Answer)

+2

-0.6

Consider a binary digital communication system with equally likely $$0’s$$ and $$1’s$$.
When binary $$0$$ is transmitted the voltage at the detector input can lie between
the levels $$-0.25V$$ and $$+0.25V$$ with equal probability when binary $$1$$ is
transmitted, the voltage at the detector can have any value between $$0$$and $$1 V$$
with equal probability. If the detector has a threshold of $$2.0V$$ (i.e., if the received
signal is greater than $$0.2 V$$, the bit is taken as $$1$$), the average bit error
probability is

2

GATE ECE 2003

MCQ (Single Correct Answer)

+2

-0.6

If E

_{b}, the energy per bit of a binary digital signal, is 10^{-5}watt-sec and the one-sided power spectral density of the white noise, N_{0}= 10^{-6}W/Hz, then the output SNR of the matched filter is3

GATE ECE 2003

MCQ (Single Correct Answer)

+2

-0.6

A sinusoidal signal with peak-to-peak amplitude of 1.536V is quantized into 128 levels using a mid-rise uniform quantizer. The quantization-noise power is

4

GATE ECE 2001

MCQ (Single Correct Answer)

+2

-0.6

During transmission over a communication channel, bit errors occur independently with probability 'p'. If a block of n bits is transmitted, the probability of at most one bit error is equal to

Questions Asked from Noise In Digital Communication (Marks 2)

Number in Brackets after Paper Indicates No. of Questions

GATE ECE 2016 Set 1 (2)
GATE ECE 2015 Set 2 (1)
GATE ECE 2015 Set 1 (2)
GATE ECE 2014 Set 4 (2)
GATE ECE 2014 Set 2 (1)
GATE ECE 2013 (1)
GATE ECE 2012 (2)
GATE ECE 2011 (2)
GATE ECE 2010 (2)
GATE ECE 2009 (2)
GATE ECE 2008 (1)
GATE ECE 2007 (5)
GATE ECE 2006 (2)
GATE ECE 2005 (3)
GATE ECE 2004 (1)
GATE ECE 2003 (2)
GATE ECE 2001 (1)
GATE ECE 1999 (2)
GATE ECE 1988 (2)
GATE ECE 1987 (1)

GATE ECE Subjects

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

Network Theory

Control Systems

Digital Circuits

General Aptitude

Electronic Devices and VLSI

Analog Circuits

Engineering Mathematics

Microprocessors

Communications

Electromagnetics