University of North Carolina Wilmington - Cameron School of Business
Master of Science in Computer Science and Information Systems


An Applicable Approach to Signal Analysis and Peak Detection

James G. Huff

May 7, 2008

 

Committee

Dr. Tom Janicki (chair)

Mr. Jerald Head

Dr. Karl Ricanek

Dr. Gene Tagliarini

 

Abstract

Analog signals are the result of many applications in the physical world. The complicating issues with the raw analog signals are the addition of noise and other physical phenomena to the underlying signal. Thus, engineering computations using analog signal inputs are subject to an increased degree of error. Identifying the underlying signal, without noise distortion, along with its corresponding properties, including minima and maxima, is a key to improving engineering methods.

 

FULL TEXT (pdf)