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Akrum Elkhazin

dblp:46/2231 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal detection
iterative detection and decoding
0.112006
Reduced-dimension MAP turbo-BLAST detection · IEEE Trans. Commun. 2006
Physical-layer communications › signal detection
MIMO detection
0.112006
Reduced-dimension MAP turbo-BLAST detection · IEEE Trans. Commun. 2006
Physical-layer communications
modulation
0.112006
Pulse Shaping for Differential Offset-QPSK · IEEE Trans. Commun. 2006
Physical-layer communications › modulation › pulse shaping
nyquist pulse shaping
0.112006
Pulse Shaping for Differential Offset-QPSK · IEEE Trans. Commun. 2006
Physical-layer communications › modulation › phase-shift keying
offset QPSK
0.112006
Pulse Shaping for Differential Offset-QPSK · IEEE Trans. Commun. 2006
Physical-layer communications › modulation
pulse shaping
0.112006
Pulse Shaping for Differential Offset-QPSK · IEEE Trans. Commun. 2006
Physical-layer communications › signal detection › iterative detection and decoding
turbo detection
0.112006
Reduced-dimension MAP turbo-BLAST detection · IEEE Trans. Commun. 2006
Physical-layer communications › channel modeling › gaussian channel
AWGN channel
0.012006
Pulse Shaping for Differential Offset-QPSK · IEEE Trans. Commun. 2006
Physical-layer communications › MIMO
space-time coding
0.012006
Reduced-dimension MAP turbo-BLAST detection · IEEE Trans. Commun. 2006

Methods — techniques the papers use, named apart from their topics

pulse shape optimization · 0.1nyquist criterion · 0.1noise whitening · 0.1maximum a posteriori detection · 0.1group detection · 0.1MMSE detection · 0.1
YearPublicationVenuePosition
2006 BER analysis of Bayesian equalization using orthogonal hyperplanes
Akrum Elkhazin, Konstantinos N. Plataniotis, Subbarayan Pasupathy
Signal Process.1
2006 Reduced-dimension MAP turbo-BLAST detection
abstract
The Bell Labs layered space-time (BLAST) architecture is a simple and efficient multiantenna coding structure that can achieve high spectral efficiency. Many BLAST detectors require more receiver antennas than transmitter antennas. We propose two novel turbo-processing BLAST detectors that can operate in systems with fewer receiver antennas than transmitter antennas. Both detectors are based on the group-detection strategy. The first proposed detector, the reduced-dimension maximum a posteriori (RDMAP) detector uses a dynamically formed group for each bit decision, while the second proposed detector, the group maximum a posteriori (GMAP) uses a static grouping. For both detectors, a maximum a posteriori (MAP) decision is made using a group of transmitted symbols, and the remaining signal contribution is treated as interference. The interference is characterized as nonzero mean colored-noise source that is whitened before a decision is made. Both proposed detectors are generalizations of the MAP detector and the turbo-processing minimum mean-squared error (MMSE) detector in Sellathurai and Haykin, and Abe and Matsumoto. An uncoded bit-error rate analysis for an independent Rayleigh fading environment is also presented. Simulated results are presented which show that both the RDMAP and GMAP detectors have a performance improvement over the MMSE detector, especially in systems having an excess number of transmitter antennas.
Akrum Elkhazin, Konstantinos N. Plataniotis, Subbarayan Pasupathy
IEEE Trans. Commun.1
2006 Pulse Shaping for Differential Offset-QPSK
abstract
Pulse shaping is examined as a means to improve the performance of a differential offset quadrature phase-shift keying system in a bandwidth-constrained environment. Through optimization with respect to a composite Nyquist criterion, the derived pulse shapes have comparable performance to a /spl pi//4-differential quadrature phase-shift keying in an additive white Gaussian noise (AWGN) channel and better performance in a hard-limited AWGN channel.
A. C. C. Lam, Akrum Elkhazin, Subbarayan Pasupathy, Konstantinos N. Plataniotis
IEEE Trans. Commun.2
2004 Group MAP BLAST detector
abstract
The Bell-Labs layered space-time (BLAST) architecture is a simple and efficient multi-antenna coding structure that can achieve high spectral efficiency (Foschini, G. and Gans, M., Wireless Personal Commun., vol.6, p.311-35, 1998). Many BLAST detectors require more receiver antennas than transmitter antennas. We propose a novel turbo-processing BLAST detector based on a group detection strategy that can operate in systems with fewer receiver antennas than transmitter antennas. A maximum a posteriori (MAP) decision is made using a group of transmitted symbols and the remaining signal contribution is treated as interference. The interference is characterized as a non-zero mean colored noise source that is whitened before a decision is made. The proposed detector, the group MAP (GMAP) detector, is a generalization of both the MAP detector and the turbo-processing minimum mean squared error (MMSE) detector (Sellathurai, M. and Haykin, S., 2002; Abe, T. and Matsumoto, T., 2001). A novel grouping algorithm is proposed for the GMAP detector. Simulation is used to compare the GMAP detector with the MAP detector and MMSE detector.
Akrum Elkhazin, Konstantinos N. Plataniotis, Subbarayan Pasupathy
ICASSP (4)1