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Zhongxiang Yao

dblp:53/2112 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Theory 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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › sequences › sequence design
frequency-hopping sequence
0.112009
Optimal Frequency Hopping Sequences: Auto- and Cross-Correlation Properties · IEEE Trans. Inf. Theory 2009
Coding theory › sequences › sequence design › correlation properties
hamming correlation
0.112009
Optimal Frequency Hopping Sequences: Auto- and Cross-Correlation Properties · IEEE Trans. Inf. Theory 2009
Coding theory › sequences › sequence design › sequence family construction
optimal sequence sets
0.112009
Optimal Frequency Hopping Sequences: Auto- and Cross-Correlation Properties · IEEE Trans. Inf. Theory 2009
Coding theory › sequences
sequence design
0.112009
Optimal Frequency Hopping Sequences: Auto- and Cross-Correlation Properties · IEEE Trans. Inf. Theory 2009

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

recursive construction · 0.1algebraic construction · 0.1
YearPublicationVenuePosition
2009 Optimal Frequency Hopping Sequences: Auto- and Cross-Correlation Properties
abstract
Frequency hopping (FH) sequences play a key role in frequency hopping spread spectrum communication systems. In order to evaluate the performance of FH sequences, Lempel and Greenberger (1974) and Peng and Fan (2004) derived lower bounds on their Hamming auto- and cross-correlations. In this paper, we construct families of FH sequences with Hamming correlations meeting those bounds by combinatorial and algebraic techniques. We first construct optimal families consisting of a single FH sequence with maximum Hamming correlation equal to 2 from a combinatorial approach. Then we investigate families consisting of multiple FH sequences. We provide a combinatorial characterization for such families, and present a recursive method to construct them by means of this characterization. We also describe two algebraic constructions for such families of FH sequences, generalizing those of Ding, Moisio, and Yuan (2007). As a consequence, many new optimal families of FH sequences are obtained.
Gennian Ge, Ying Miao 0001, Zhongxiang Yao
IEEE Trans. Inf. Theory3