Pre-processing of on-line signals in noisy environments

McCabe, Alan, and Trevathan, Jarrod (2007) Pre-processing of on-line signals in noisy environments. In: Proceedings of the Fourth International Conference on Information Technology: New Generations (4), pp. 933-936. From: ITNG 2007 4th International Conference on Information Technology : New Generations, 2-4 April 2007, Las Vegas, Nevada, USA.

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Abstract

This paper introduces the Extremum Consistency (EC) algorithm for avoiding local maxima and minima in a specialised domain. The most notable difference between this approach and others in the literature is that it places a greater importance on the width or consistency of an extremum than on its height or depth (amplitude). Short-term, high amplitude extrema can be encountered in many typical situations (such as noisy environments or due to hardware imprecision) and can cause problems with system accuracy. The EC algorithm is far less susceptible to these situations than hill climbing, convolution, thresholding etc., and tends to produce higher quality results. This paper describes the algorithm and presents results from practical experimentation, which illustrates its superiority over other forms of local extrema avoidance in three real-world applications.

Item ID: 3071
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: handwritten signature verification; extrema avoidance; convolution; artificial intelligence; hill climbing
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ISBN: 0-7695-2776-0
Date Deposited: 13 May 2009 02:06
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0804 Data Format > 080499 Data Format not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
Citation Count from Scopus Scopus 0
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