Author

Paul T. Gaski

Date of Award

3-26-2015

Document Type

Thesis

Degree Name

Master of Science in Operations Research

Department

Department of Operational Sciences

First Advisor

Raymond R. Hill, PhD.

Abstract

Acoustical modeling focuses on the sound pressures generated by the operation of some system of interest, the propagation of the sound through some medium (the atmosphere) and the sound pressure levels picked up by the receiver (listening device or a human). Ambient noise, or the background noise occurring naturally in an environment, affects the ability of the receiver to identify the sound from the system of interest. This work examines nominal logistic modeling of human performance data, methods to remove the time-dependency aspect of ambient sound profiles, and develops a method with which to classify sample ambient noise profiles against one of nine standard ambient noise profiles. The application of these methods to a notional scenario is provided.

AFIT Designator

AFIT-ENS-MS-15-M-122

DTIC Accession Number

ADA618133

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