Thesis (D.M.A.)--University of Texas at Austin, 2003. / Vita. Includes bibliographical references. Available also from UMI Company.

Symphony Number 1 for Concert Band is a musical composition for symphonic band. The work calls for an ensemble of large forces in order to explore a variety of musical textures and techniques within traditional formal design. Formally the work is in three independent movements. Each movement is built upon a relatively traditional form or key scheme. The first movement is the most complex, a modified rounded binary form with dominant -- tonic relationships. The second is a passacaglia, and the third is a highly rhythmic sonata rondo. A variety of instrumental textures are explored throughout the work. Climactic sections call for large tuttis and ensemble unisons. Sections for small groups balance these larger statements. Soloists drawn from the ensemble are frequently called for, with the third movement featuring an extended duet for soprano and alto saxophone. Traditional tonal harmonic structures are melded with harmonies driven by polytonal chromaticism in a melodic context. Polytonal chromaticism is a formative element of the work, appearing throughout each movement and used to provide structure and dramatic tension at all levels within the composition. / text

In this thesis we present a novel method for remote breathing detection using ultra-wideband(UWB) radar. This is a method that does not require any wearable sensors, makingit more comfortable and convenient for users. Furthermore, because of the penetratingcharacteristic of the transmitted signal through materials like walls, our system is usefulin emergency situations such as earthquakes, which require monitoring people who maybe trapped under rubble. In this thesis we present two new convolution-based methodsto extract breathing rate information from the received radar signal. We use two differenttemplate signals to detect a part of the received signal which contains breathing information.Using this information we are able to estimate the frequency of chest displacement.This method was tested on several people who were monitored while lying down on a bed.The subject’s position was determined and breathing rate was estimated. Experimental resultsincluding 20 different subjects are provided, showing that this is a viable method formonitoring breathing rate using a low-power UWB radar.i

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