Date of Award

8-27-2015

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Coskun Bayrak

Abstract

We believe that the sound waves originated from a given source have unique patterns that are damped down in time but maintain their inherent characteristics. These sound waves travel through the air and are echoed upon encountering a new (harder) surface. These waves are short lived and transitional in nature, and so far no successful attempt has been made to capture and analyze the aftermath of sound waves after their release. Considering the hypothesis principle of conservation of acoustic energy and uniqueness of sound signal patterns and echoes, and by employing some of the known techniques selectively, we designed an environment and defined a method to identify the sound source from reflected sound waves. State of the art ultra-sensitive sound signal detectors will be able to collect the data, and we minimized the background noise originated from environmental sources by use of special electronic filters. Then we attempted to distinguish between particular wave patterns, separate them, and unveil valuable information about their sources and histories. Harnessing the transient sound wave study will have a wide range of applications such as in military service purposes, archaeological, forensic science, security systems, intelligence community, and telecommunication.

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