V2 N1 Paper 4
Annals of the MS in Computer Science and Information Systems at UNC Wilmington
Spring 2008

An Applicable Approach to Signal Analysis and Peak Detection  

James Huff

Committee

Tom Janicki (chair)
Karl Ricanek
Gene Tagliarini
Jerald Head

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.

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Recommended Citation: Huff, J., Janicki, T, Ricanek, K., Tagliarini, G., Head, J. (2008) An Applicable Approach to Signal Analysis and Peak Detection. Annals of the Master of Science in Computer Science and Information Systems at UNC Wilmington, 2(1) paper 4. http://csbapp.uncw.edu/data/mscsis/full.aspx.

V2 N1 Paper 4
Annals of the MS in Computer Science and Information Systems at UNC Wilmington
Spring 2008