Underwater bottom still mine classification using robust time–frequency feature and relevance vector machine

DOI10.1080/00207160701704572zbMath1165.65088OpenAlexW2020137423MaRDI QIDQ3630435

Qiang Wang

Publication date: 29 May 2009

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: http://www.informaworld.com/smpp/./content~db=all~content=a794878063

zbMATH Keywords

numerical examplesfeature extractionsupport vector machinerelevance vector machineacoustic backscattered signalsbottom minerobust short-time Fourier transformwide-band sonar

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Signal detection and filtering (aspects of stochastic processes) (60G35) Hydro- and aero-acoustics (76Q05) Numerical methods for trigonometric approximation and interpolation (65T40)

Cites Work

• Unnamed Item
• 10.1162/15324430152748236
• Prediction performance of support vector machines on input vector normalization methods