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New Classes of Frequency-Hopping Sequences With Optimal Partial Correlation

Author
ZHENGCHUN ZHOU1 ; XIAOHU TANG2 ; XIANHUA NIU2 ; PARAMPALLI, Udaya3
[1] School of Mathematics, Southwest Jiaotong University, Chengdu, 610031, China, and also with the State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, 710071, China
[2] Institute of Mobile Communications, Southwest Jiaotong University, Chengdu, 610031, China
[3] Department of Computer Science and Software Engineering, University of Melbourne, VIC 3010, Australia
Source

IEEE transactions on information theory. 2012, Vol 58, Num 1, pp 453-458, 6 p ; ref : 14 ref

CODEN
IETTAW
ISSN
0018-9448
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Frequency-hopping sequences (FHSs) Hamming correlation frequency-hopping spread spectrum partial correlation
Keyword (fr)
Autocorrélation Communication saut fréquence Distance Hamming Spectre fréquence Spectre étalé Ventilateur
Keyword (en)
Autocorrelation Frequency hop communication Hamming distance Frequency spectrum Spread spectrum Fan
Keyword (es)
Autocorrelación Distancia Hamming Espectro frecuencia Espectro ensanchado Ventilador
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
25512581

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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