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EDBT 2026 Demo / reviewers in the wild / expert

Sasha Sodin

dblp:26/2105 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0002-9785-412XORCID · corroborated

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

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1

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%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › hardware impairments
clipping		 0.112012
An Analytical Approach to the Calculation of EVM in Clipped Multi-Carrier Signals · IEEE Trans. Commun. 2012
Physical-layer communications › modulation
error vector magnitude		 0.112012
An Analytical Approach to the Calculation of EVM in Clipped Multi-Carrier Signals · IEEE Trans. Commun. 2012
Physical-layer communications › modulation
multicarrier modulation		 0.112012
An Analytical Approach to the Calculation of EVM in Clipped Multi-Carrier Signals · IEEE Trans. Commun. 2012
Physical-layer communications
signal distortion		 0.112012
An Analytical Approach to the Calculation of EVM in Clipped Multi-Carrier Signals · IEEE Trans. Commun. 2012

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

power series expansion · 0.3
YearPublicationVenuePosition
2012 An Analytical Approach to the Calculation of EVM in Clipped Multi-Carrier Signals
abstract
Error vector magnitude (EVM) is an important figure of merit in many communication systems. In this work an analytical approach to the calculation of EVM in clipped multi- carrier signals is proposed. In contrast to previous work, the EVM in this work is calculated with no simplifying model (e.g. a Gaussian assumption). The expression is given in a form of a power series. Based on the derived expressions for EVM, bounds on the maximal achievable rate are derived.
Igal Kotzer, Smadar Har-Nevo, Sasha Sodin, Simon Litsyn
 IEEE Trans. Commun.3
2011 On the EVM of sequences
abstract
Along with PAPR and PMEPR, the error vector magnitude (EVM) measure for sequences is of importance for applications in OFDM communication systems with clipping. No analytical method for calculation of EVM is currently known. It is shown that EVM can be computed as a power series in the length of the sequence with coefficients depending on the alphabet and clipping level.
Igal Kotzer, Smadar Har-Nevo, Sasha Sodin, Simon Litsyn
 ISIT3