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Author

Martins

Bio: Martins is an academic researcher. The author has contributed to research in topics: Multipath propagation & Blind deconvolution. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Papers
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Journal ArticleDOI
TL;DR: This article reviews how these information-carrying and -collecting features of acoustic waves that travel through fluids can be exploited for remote sensing.
Abstract: Acoustic waves carry information about their source and collect information about their environment as they propagate. This article reviews how these information-carrying and -collecting features of acoustic waves that travel through fluids can be exploited for remote sensing. In nearly all cases, modern acoustic remote sensing involves array-recorded sounds and array signal processing to recover multidimensional results. The application realm for acoustic remote sensing spans an impressive range of signal frequencies (10−2 to 107 Hz) and distances (10−2 to 107 m) and involves biomedical ultrasound imaging, nondestructive evaluation, oil and gas exploration, military systems, and Nuclear Test Ban Treaty monitoring. In the past two decades, approaches have been developed to robustly localize remote sources; remove noise and multipath distortion from recorded signals; and determine the acoustic characteristics of the environment through which the sound waves have traveled, even when the recorded sounds orig...

39 citations

Book ChapterDOI
05 Mar 2006
TL;DR: A realistic model of an underwater acoustic channel is presented, then a general structure to separate acoustic signals crossing an underwater channel is proposed and some simulations have been presented and discussed.
Abstract: In last two decades, many researchers have been involved in acoustic tomography applications. Recently, few algorithms have been dedicated to the passive acoustic tomography applications in a single input single output channel. Unfortunately, most of these algorithms can not be applied in a real situation when we have a Multi-Input Multi-Output channel. In this paper, we propose at first a realistic model of an underwater acoustic channel, then a general structure to separate acoustic signals crossing an underwater channel is proposed. Concerning ICA algorithms, many algorithms have been implemented and tested but only two algorithms give us good results. The latter algorithms minimize two different second order statistic criteria in the frequency domain. Finally, some simulations have been presented and discussed.

17 citations

Proceedings ArticleDOI
Ali Mansour1
13 Apr 2010
TL;DR: In this manuscript, major problems are described and a new separation scheme based on modified ICA algorithms is proposed and the experiment results corroborate the effectiveness of the proposed approach.
Abstract: The main idea of this manuscript consists on applying signal processing methods along with statistical approaches to achieve the characterization of a complex and hostile environment such as the oceanic underwater environment. In order to study, characterize (i.e. the measurement of the pressure, the salinity, the temperature, etc.) and extract the topographical features (depth, etc), Ocean acoustic tomography methods are widely used. For many reasons, Passive ocean Acoustic Tomography (PAT) configuration becomes more attractive than the classic active one. However the new passive configuration is more challenging. In our project, some of the facing problems have been addressed. In this manuscript, major problems are described and a new separation scheme based on modified ICA algorithms is proposed. Finally, our experiment results corroborate the effectiveness of our proposed approach.

1 citations

Proceedings ArticleDOI
20 Jun 2005
TL;DR: In this paper, the authors used matched delay, matched field and matched impulse response inversion processing to estimate acoustic properties of the water column from the measurement of a propagated known acoustic waveform between fixed sources and receivers.
Abstract: Acoustic tomography is a way to produce a fast, accurate and cheap monitoring of water mass. This monitoring requires an inversion procedure made of two steps. The first one is to estimate acoustic properties (such as the sound speed profile of the water column) from the measurement of a propagated known acoustic waveform between fixed sources and receivers. Then a second step consists in inferring some physical ocean parameters (temperature, bottom nature) from these previous estimated acoustic characteristics. Large scales deep water and small scales shallow water configurations have been successfully studied and associated to matched delay, matched field and matched impulse response inversion processing.