Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
De-noised estimation of the weather Doppler spectrum by the wavelet method
Digital Signal Processing: A Review Journal, Volume 23, No. 1, Year 2013
Notification
URL copied to clipboard!
Description
In the aeronautics generally and in the aviation field particularly, the radar detection of hazardous and severe weather phenomenons as winds or microburst is very important. This detection allows the avoidance of these severe phenomenons and consequently will enhance the safety of the aircrafts flights. In this work, we have de-noised the weather radar signals by the wavelet method in order to estimate the mean velocity of winds. The results showed that the application of this method is promising compared with the classical estimators (pulse pair, Fourier, AR and ARMA). © 2012 Elsevier Inc. All rights reserved.
Authors & Co-Authors
Lagha, Mohand
Algeria, Blida
Université Blida 1
Tikhemirine, M.
Algeria, Blida
Université Blida 1
Bergheul, Said
Algeria, Blida
Université Blida 1
Rezoug, Tahar
Algeria, Blida
Université Blida 1
Bettayeb, Maâmar
United Arab Emirates, Sharjah
University of Sharjah
Statistics
Citations: 14
Authors: 5
Affiliations: 2
Identifiers
Doi:
10.1016/j.dsp.2012.08.001
ISSN:
10512004