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


Autoria(s): Chandran, V.; Elgar, S.
Data(s)

1996

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/46490/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/46490/1/46490P.pdf

DOI:10.1109/ISSPA.1996.615071

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.

Direitos

Copyright 1996 Please consult the authors.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #090609 Signal Processing #Discrete Fourier transforms, Fourier transforms, Frequency, Gaussian noise, Noise robustness, Object recognition, Pattern recognition, Random processes, Signal processing
Tipo

Conference Paper