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Alona Strugatski

dblp:117/3584 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-3282-7067ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021Theory of computation · 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.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › source coding
lossy source coding
0.212013
Polar Write Once Memory Codes · IEEE Trans. Inf. Theory 2013
Coding theory › channel coding
polar codes
0.212013
Polar Write Once Memory Codes · IEEE Trans. Inf. Theory 2013
Coding theory › error-correcting codes › storage coding › write-once memory
write-once memory codes
0.212013
Polar Write Once Memory Codes · IEEE Trans. Inf. Theory 2013

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

successive cancellation decoding · 0.2polar coding · 0.2
YearPublicationVenuePosition
2025 Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments
Alona Strugatski, Giora Alexandron
LAK1
2013 Polar Write Once Memory Codes
abstract
A coding scheme for write once memory (WOM) using polar codes is presented. It is shown that the scheme achieves the capacity region of noiseless WOMs when an arbitrary number of multiple writes is permitted. The encoding and decoding complexities scale as O(N log N), where N is the blocklength. For N sufficiently large, the error probability decreases subexponentially in N. The results can be generalized from binary to generalized WOMs, described by an arbitrary directed acyclic graph, using nonbinary polar codes. In the derivation, we also obtain results on the typical distortion of polar codes for lossy source coding. Some simulation results with finite length codes are presented.
David Burshtein, Alona Strugatski
IEEE Trans. Inf. Theory2
2012 Polar write once memory codes
abstract
A coding scheme for write once memory (WOM) using polar codes is presented. It is shown that the scheme achieves the capacity region of noiseless WOMs when an arbitrary number of multiple writes is permitted. The encoding and decoding complexities scale as O(N log N) where N is the blocklength. For N sufficiently large, the error probability decreases sub-exponentially in N. Some simulation results with finite length codes are presented.
David Burshtein, Alona Strugatski
ISIT2