Accession Number:

AD1113736

Title:

Predicting Underwater Ambient Noise with an Evolutionary Signal Processing Method

Descriptive Note:

[Technical Report, Research Report]

Corporate Author:

SACLANT UNDERSEA RESEARCH CENTRE LA SPEZIA (ITALY)

Report Date:

2001-06-01

Pagination or Media Count:

27

Abstract:

In this report we employ recent developments in non-linear physics and timeseries prediction to study the physical characteristics of measured underwater ambient sounds. Specifically, we examine the predictability of a sample of ocean ambient noise recorded in the Strait of Sicily, Italy. An approach based on genetic algorithms has been employed. Results indicate that, while showing complex time variability, the recorded signals are highly predictable

Subject Categories:

  • Acoustics
  • Physical and Dynamic Oceanography

Distribution Statement:

[A, Approved For Public Release]