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Ning Chang

dblp:21/2729 · DBLP profile ↗
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4ranked-venue papers
4as first author
1since 2021 · last 2024
0000-0002-5244-1858ORCID · reported

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

Theory of computation · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

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
2 papers
Coding theory · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › sequences › sequence design › low-correlation sequence
barker sequence		 0.021996
7200-phase generalized Barker sequences · IEEE Trans. Inf. Theory 1996
On n-phase Barker sequences · IEEE Trans. Inf. Theory 1994

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

computer search · 0.0transformation · 0.0exhaustive computer search · 0.0
YearPublicationVenuePosition
2024 Joint spatial, polarization, and temporal estimation based on multiple sparse Bayesian learning in GNSS multipath environments
Ning Chang, Xi Hong, Wenjie Wang 0001, Daniel Egea, José A. Lopez-Salcedo, Gonzalo Seco-Granados
 Signal Process.1
2020 A Mixed Semantic Features Model for Chinese NER with Characters and Words
Ning Chang
 ECIR (1)1
1996 7200-phase generalized Barker sequences
abstract
We present 7200-phase generalized Barker sequences with lengths from 19 to 31. Also, we show the number of known M-phase generalized Barker sequences (M=7200), inequivalent under the group of "Barker-preserving transformations". The autocorrelation values of Barker sequences are also presented.
Ning Chang, Solomon W. Golomb
 IEEE Trans. Inf. Theory1
1994 On n-phase Barker sequences
abstract
An n-phase Barker sequence can be easily distinguished from the time-shifted versions of itself. This property is important for such applications as radar systems, synchronization systems, and spread-spectrum communications systems. The authors study some transformations on n-phase Barker sequences. Also, they give an efficient algorithm for finding sextic Barker sequences. Through an exhaustive computer search, numerical data for n-phase Barker sequences are given. Specifically, they extend the list of known n-phase Barker sequences to length L=19.>
Ning Chang, Solomon W. Golomb
 IEEE Trans. Inf. Theory1