Contact
Comment faire ses achats
Livraison
Guide d'achat
Application of Dual-Tree Complex Wavelet Transforms to Burst Detection and RF Fingerprint Classification
Anglais
157 b
common.delivery_to
Politique de retour sous 30 jours
Ceci pourrait également vous intéresser
/
Livre de poche
22.68
€
This work addresses various Open Systems Interconnection (OSI) Physical (PHY) layer mechanisms to extract and exploit RF waveform features ("fingerprints") that are inherently unique to specific devices and that may be used to provide hardware specific identification(manufacturer, model, and/or serial number). This is addressed by applying a Dual-Tree Complex Wavelet Transform (DT-CWT) to improve burst detection and RF fingerprint classification. A "Denoised VT" technique is introduced to improve performance at lower SNRs, with denoising implemented using a DT-CWT decomposition prior to Traditional VT processing. A newly developed Wavelet Domain (WD) fingerprinting technique is presented using statistical WD fingerprints with Multiple Discriminant Analysis/Maximum Likelihood (MDA/ML) classification.
À propos du livre
Anglais
