NDLI: A new way for underwater acoustic signal analysis: The morphological filtering

Content Provider	IEEE Xplore Digital Library
Author	Moreaud, U. Courmontagne, P. Chaillan, F. Mesquida, J.-R. Ouelha, S.
Copyright Year	2015
Description	Author affiliation: Equipe Signaux et Syst., Maison des Technol., ISEN Toulon, Toulon, France (Moreaud, U.; Courmontagne, P.) \|\| Underwater Detection Dept., Acoust. Signature R&D, Toulon, France (Chaillan, F.; Mesquida, J.-R.; Ouelha, S.)
Abstract	This study presents an innovative way for underwater acoustic signal analysis. It is based on multi-directional filters implementation on time-frequency representation, where each filter is designed to enhance a given direction on the time-frequency plane. To do so, the proposed technique processes the time-frequency plane by taking into account the actual atom and its neighborhood for each direction, up to a given distance. Thus, such an approach emphases information about signal directional features into the time-frequency plane. Derivation of the technique relies first on the use of a recursive algorithm which estimates noise level. Then, after establishing filters responses for one direction, the design method is extended to all-direction, leading to the morphological filtering, which allows specific morphological feature patterns detection from the time-frequency plane. This paper finally presents experimentations on real underwater acoustic recordings to show performances obtained with this technique when objective is SNR enhancement and acoustic signature features preservation.
Starting Page	1
Ending Page	9
File Size	1148829
Page Count	9
File Format	PDF
e-ISBN	9781479987368
DOI	10.1109/OCEANS-Genova.2015.7271406
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-frequency analysis Filter banks Noise Underwater acoustics Estimation Spectrogram noise cancelling underwater acoustic signal acoustic signatures passive Sonar morphological filtering signal analysis time-frequency analysis signal detection noise reduction signal-to-noise ratio (SNR) enhancement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Underwater acoustic signal denoising Using multi-directionnals masks on time-frequency representation

Noise suppression and component extraction of underwater acoustic signals

A fuzzy logic based underwater acoustic transient classifier

A Frequency-Domain Multi-Band Matched-Filter Approach to Passive Diver Detection

Performance of the matched filter in sonar systems having time variable gain

Detection and classification of short duration underwater acoustic signals by Prony's method

Platform Location in Underwater Acoustics

Analysis of the Decision-Directed SNR Estimator for Speech Enhancement With Respect to Low-SNR and Transient Conditions

Underwater Acoustic Source Localization Based on Passive Sonar and Intelligent Processing

A new way for underwater acoustic signal analysis: The morphological filtering

Similar Documents

Underwater acoustic signal denoising Using multi-directionnals masks on time-frequency representation

Noise suppression and component extraction of underwater acoustic signals

A fuzzy logic based underwater acoustic transient classifier

A Frequency-Domain Multi-Band Matched-Filter Approach to Passive Diver Detection

Performance of the matched filter in sonar systems having time variable gain

Detection and classification of short duration underwater acoustic signals by Prony's method

Platform Location in Underwater Acoustics

Analysis of the Decision-Directed SNR Estimator for Speech Enhancement With Respect to Low-SNR and Transient Conditions

Underwater Acoustic Source Localization Based on Passive Sonar and Intelligent Processing

A new way for underwater acoustic signal analysis: The morphological filtering