A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise, minimum mean square variance criterion and least mean square adaptive filter

Published 2019 View Full Article

Title

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise, minimum mean square variance criterion and least mean square adaptive filter

Authors

Keywords

Underwater acoustic signal, Noise reduction, Empirical mode decomposition (EMD), Ensemble EMD (EEMD), Complete EEMD with adaptive noise (CEEMDAN), Minimum mean square variance criterion (MMSVC), Least mean square adaptive filter (LMSAF), Ship-radiated noise

Journal

Defence Technology

Volume -, Issue -, Pages -

Publisher

Elsevier BV

Online

2019-08-01

DOI

10.1016/j.dt.2019.07.020

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

© Peeref 2019-2024. All rights reserved.