Signal recognition: Fourier transform vs. Cosine transform

L. Gelman; M. Sanderson; C. Thompson

doi:10.1016/S0167-8655(03)00136-3

Signal recognition: Fourier transform vs. Cosine transform

L. Gelman, M. Sanderson, C. Thompson

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A new feature representation approach, the simultaneous usage of the real and imaginary Fourier components with taking into account the covariance between these components, was compared with the Cosine transform approach for Gaussian recognition.

Original language	English
Pages (from-to)	2823-2827
Number of pages	5
Journal	Pattern Recognition Letters
Volume	24
Issue number	15
Early online date	25 Jun 2003
DOIs	https://doi.org/10.1016/S0167-8655(03)00136-3
Publication status	Published - Nov 2003
Externally published	Yes

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title = "Signal recognition: Fourier transform vs. Cosine transform",

abstract = "A new feature representation approach, the simultaneous usage of the real and imaginary Fourier components with taking into account the covariance between these components, was compared with the Cosine transform approach for Gaussian recognition.",

keywords = "Cosine transform, Likelihood ratio, Real and imaginary Fourier components, Statistical recognition",

author = "L. Gelman and M. Sanderson and C. Thompson",

year = "2003",

month = nov,

doi = "10.1016/S0167-8655(03)00136-3",

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T1 - Signal recognition

T2 - Fourier transform vs. Cosine transform

AU - Gelman, L.

AU - Sanderson, M.

AU - Thompson, C.

PY - 2003/11

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N2 - A new feature representation approach, the simultaneous usage of the real and imaginary Fourier components with taking into account the covariance between these components, was compared with the Cosine transform approach for Gaussian recognition.

AB - A new feature representation approach, the simultaneous usage of the real and imaginary Fourier components with taking into account the covariance between these components, was compared with the Cosine transform approach for Gaussian recognition.

KW - Cosine transform

KW - Likelihood ratio

KW - Real and imaginary Fourier components

KW - Statistical recognition

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DO - 10.1016/S0167-8655(03)00136-3

M3 - Article

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EP - 2827

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

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ER -

Signal recognition: Fourier transform vs. Cosine transform

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