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Dimitry Taich

dblp:68/6927 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Theory of computation · 1 · 1 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
1 paper
Physical-layer communications · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
modulation
0.011999
Maximum-likelihood estimation of phase and frequency of MPSK signals · IEEE Trans. Inf. Theory 1999
Physical-layer communications › modulation › phase-shift keying
MPSK
0.011999
Maximum-likelihood estimation of phase and frequency of MPSK signals · IEEE Trans. Inf. Theory 1999
Physical-layer communications › signal processing for communications › signal parameter estimation
phase and frequency estimation
0.011999
Maximum-likelihood estimation of phase and frequency of MPSK signals · IEEE Trans. Inf. Theory 1999
Physical-layer communications
signal processing for communications
0.011999
Maximum-likelihood estimation of phase and frequency of MPSK signals · IEEE Trans. Inf. Theory 1999
Physical-layer communications › channel modeling › gaussian channel
AWGN channel
0.011999
Maximum-likelihood estimation of phase and frequency of MPSK signals · IEEE Trans. Inf. Theory 1999

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

maximum likelihood estimation · 0.0
YearPublicationVenuePosition
1999 Maximum-likelihood estimation of phase and frequency of MPSK signals
abstract
The asymptotically optimum simultaneous estimation of the phase and frequency of MPSK signals in AWGN channel is derived at low SNRs under the maximum-likelihood criterion. Its performance is superior to those of previously published methods, in particular at large frequency uncertainty.
Dimitry Taich, Israel Bar-David
IEEE Trans. Inf. Theory1