Please use this identifier to cite or link to this item:
https://hdl.handle.net/10321/2162
Title: | Pattern recognition in the case of strong background noise |
Authors: | Wang, Xingmei |
Issue Date: | 2001 |
Abstract: | This study presents a development of a method for recognition of a class of patterns in signals contaminated by strong noise. The class of signals considered is described by a finite alphabet. The target class of patterns is assumed to have specific statistical properties that can be conveniently captured by the position weight matrices (PWM) description. Itis also assumed thatthe 'signals: con... |
Description: | Dissertation submitted in compliance with the requirements for Maters Degree in Technology: Mechanical Engineering, Technikon Natal, Durban, South Africa, 2001. |
URI: | http://hdl.handle.net/10321/2162 |
DOI: | https://doi.org/10.51415/10321/2162 |
Appears in Collections: | Theses and dissertations (Engineering and Built Environment) |
Files in This Item:
File | Description | Size | Format | |
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WANG_2001.pdf | 6.28 MB | Adobe PDF | View/Open |
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