Closed-form estimation of normal modes from a partially sampled water column

The output of a vertical linear array is used to infer about the parameters of the normal mode model that describes acoustic propagation in a shallow water. Existing subspace algorithms perform singular vector decomposition of the array data matrix to estimate the sampled model functions. Estimates...

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Detalhes bibliográficos
Autor principal: Gazzah, Houcem (author)
Outros Autores: Jesus, Sergio (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Arrays
Transmission line matrix methods
Estimation
Signal processing algorithms
Mathematical model
Data models
Sensors
Normal modes
Shallow water
Subspace algorithms
Vertical linear arrays
Oceanography
Engineering
Texto completo:http://hdl.handle.net/10400.1/16370
País:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/16370

Texto Completo

http://hdl.handle.net/10400.1/16370

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