<div class="description">
<dl><dd>Thesis advisor(s): Cristi, Roberto ; Fargues, Monique P</dd>
<dd>"March 2000."</dd>
<dd>Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 2000</dd>
<dd>Includes bibliographical references (p. 171-172)</dd>
<dd>Detecting short transients is a signal processing application that has a wide range of military uses. To be specific in Undersea Warfare, sensitive signal detection schemes can increase the effective range of active and passive sonar operations. Current research is being done to improve the capability of detecting short signals buried within background noise, particularly in Littoral waters. Starting with a colored noise model, this thesis will introduce two denoising methods based on multiresolution analysis and compare the results to current transient detection techniques. The goal of this thesis is not necessarily to replace current detection schemes, but rather to enhance them and thereby making the procedure more robust</dd>
<dd>Mode of access: World Wide Web</dd>
<dd>System requirements: Adobe Acrobat Reader</dd>
<dd>US Navy (USN) author</dd>
<dd>dk/dk cc:9116 7/11/00</dd></dl><br>Subjects:</div>
<div class="fn value">
Stevens, John Davenport.</div>
Internet Archive identifier