DocumentCode
507795
Title
The Research on Data-Fusion Methods Based on Wavelet Neural Network
Author
Hong, Song ; Lianjun, Hu ; Xiaohui, Zeng ; Hui, Xiao
Author_Institution
Sch. of Autom. & Electron. Inf. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
333
Lastpage
337
Abstract
The wavelet transform is introduced into pretreatments and feature extractions in the paper. The threshold value is determined according to the change of wavelet coefficients which can reduce noises and extract effective characteristic parameters. The neural net is used for fusion calculations, realizing the data fusion of multi-sensor. The simulation results show the feasibility and validity of the method.
Keywords
feature extraction; radial basis function networks; sensor fusion; wavelet transforms; feature extraction; multisensor data fusion; noises reduction; wavelet neural network; Data acquisition; Data engineering; Data mining; Feature extraction; Neural networks; Sampling methods; Sensor fusion; Sensor phenomena and characterization; Wavelet analysis; Wavelet transforms; Neutral net; Wavelet transform; data-fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.82
Filename
5363116
Link To Document