Signal recognition: Fourier transform vs. Hartley transform

Leonid Gelman, Michael Sanderson, Christopher Thompson

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The new generic feature representation approach was utilized for Gaussian recognition. Approach consists of using simultaneously two new recognition features: real and imaginary Fourier components with taking into account the covariance between features. 

Advanced time-frequency technique, short time Fourier transform was considered.

The recognition effectiveness between the new approach and Hartley based approach was compared. It was shown for Gaussian recognition that Hartley approach is not an optimal and is not even a particular case of the proposed approach. The use of the proposed approach provides an essential effectiveness gain in comparison with Hartley approach.

Original languageEnglish
Pages (from-to)2849-2853
Number of pages5
JournalPattern Recognition
Volume36
Issue number12
Early online date14 Aug 2003
DOIs
Publication statusPublished - Dec 2003
Externally publishedYes

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