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On the behaviour of higher-order spectral features for object recognition in the presence of various types of noise

Chandran, V. & Elgar, S. (1996) On the behaviour of higher-order spectral features for object recognition in the presence of various types of noise. In Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, IEEE, Gold Coast, Queensland, pp. 491-494.

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Abstract

This paper presents results on the robustness of higher-order spectral features to Gaussian, Rayleigh, and uniform distributed noise. Based on cluster plots and accuracy results for various signal to noise conditions, the higher-order spectral features are shown to be better than moment invariant features.

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ID Code: 46490
Item Type: Conference Paper
Keywords: Discrete Fourier transforms, Fourier transforms, Frequency, Gaussian noise, Noise robustness, Object recognition, Pattern recognition, Random processes, Signal processing
DOI: 10.1109/ISSPA.1996.615071
ISBN: 0780341147
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 1996 Please consult the authors.
Deposited On: 16 Oct 2011 22:38
Last Modified: 21 Oct 2011 01:41

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