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Chenxi Lu

dblp:20/9706 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · conflict

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

Applied, interdisciplinary, general and emerging computing · 3 · 2 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
2 papers
Wireless sensing and localization · 90% Physical-layer communications · 10%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
navigation		 0.322014
Reduced-order H ∞ filtering for navigation with carrier phase · Sci. China Inf. Sci. 2014
Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase · Sci. China Inf. Sci. 2010
Physical-layer communications
signal processing for communications		 0.012010
Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase · Sci. China Inf. Sci. 2010

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

reduced-order filtering · 0.2kalman filtering · 0.1
YearPublicationVenuePosition
2014 Reduced-order H ∞ filtering for navigation with carrier phase
Chenxi Lu, Yunhua Tan, Bocheng Zhu, Lezhu Zhou
 Sci. China Inf. Sci.1
2013 Discrete Fourier Transformation for Seasonal-Factor Pattern Classification and Assignment
abstract
This paper introduces a data mining method to investigate the relationship between seasonal factors (SFs) and land use characteristics for urban areas in Florida through discrete Fourier transformation (DFT). First, DFT is applied to discover seasonal variation patterns, and two typical patterns were identified. Second, linear regression is used to determine influential variables, and a weighted similarity method derived from the amplitude of each DFT wave is applied for the SF assignment. The results obtained by DFT demonstrate promising assignment accuracy with a mean absolute percentage error of 4.27% for all data and 3.96% for the low seasonal household percentage subclass.
Luou Shen, Chenxi Lu, Weiming Liu 0003
 IEEE Trans. Intell. Transp. Syst.2
2010 Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase
Chenxi Lu, Yunhua Tan, Bocheng Zhu, Lezhu Zhou
 Sci. China Inf. Sci.1