Nonlinear time-frequency distributions with multiplication-free kernels

Anna Scaglione, S. Barbarossa, A. Porchia, G. Scarano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper we introduce and analyze the so called Complex Sign WVD (CS-WVD), defined as the Wigner-Ville Distribution (WVD) where one of the two signals is substituted by its complex sign. The substitution provides a consistent simplification for the implementation on dedicated hardware. In particular, the number of multiplications is drastically reduced. In spite of the hard nonlinearity used in the CS-WVD, the new transform is still able to deal with multi-component chirp signals. In the paper we provide a statistical analysis of the introduced transformation, in the case of polynomial-phase signals embedded in additive white Gaussian noise. The theoretical analysis is compared to simulation results and to the Cramer-Rao lower bounds.

Original languageEnglish (US)
Title of host publicationIEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Editors Anon
Pages456-459
Number of pages4
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96 - Corfu, Greece
Duration: Jun 24 1996Jun 26 1996

Other

OtherProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96
CityCorfu, Greece
Period6/24/966/26/96

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Scaglione, A., Barbarossa, S., Porchia, A., & Scarano, G. (1996). Nonlinear time-frequency distributions with multiplication-free kernels. In Anon (Ed.), IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP (pp. 456-459)