The prediction of underwater acoustic signal is the basis of underwater acoustic signal
processing, which can be applied to underwater target signal noise reduction, detection, and …

The paper summarizes the research carried out at the University of Crete and the
Foundation for Research and Technology-HELLAS aiming at the statistical characterization …

ABSTRACT Sound Speed Profiles (SSPs) are critical environmental parameters for many
ocean applications. A novel Ray-Gradient-Enhanced Surrogate Model (RGE-SM) method is …

A method for denoising underwater acoustic signals used in applications of acoustical
oceanography is presented. The method has been introduced for imaging denoising and …

The goal of the work presented here is to study a novel approach for inverting acoustic
signals recorded in the marine environment for the estimation of environmental parameters …

The paper presents an application of a method for the characterization of underwater
acoustic signals based on the statistics of the wavelet transform sub-band coefficients in …

Applications of ocean acoustic tomography and sea-bed classification using measurements
of acoustic signals emitted from known sources are based on the extraction of specific …

This paper presents a study on the applicability of a method for the statistical
characterization of seismic signals which is based on the statistics of their wavelet sub-band …

RESUMO A Tomografia Acústica Oceânica (TAO) tem como objetivo determinar
propriedades do ambiente marinho por meio da sensibilidade do campo acústico às …

A hybrid approach is presented for problems of ocean acoustic tomography, based on the
statistical characterization (SC) of the acoustic signal. The statistical characterization is used …