PuSH - Publikationsserver des Helmholtz Zentrums München

Storath, M.* ; Demaret, L. ; Massopust, P.*

Signal analysis based on complex wavelet signs.

Appl. Comput. Harmon. Anal. 42, 199-223 (2015)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
We propose a signal analysis tool based on the sign (or the phase) of complex wavelet coefficients, which we call a signature. The signature is defined as the fine-scale limit of the signs of a signal's complex wavelet coefficients. We show that the signature equals zero at sufficiently regular points of a signal whereas at salient features, such as jumps or cusps, it is non-zero. At such feature points, the orientation of the signature in the complex plane can be interpreted as an indicator of local symmetry and antisymmetry. We establish that the signature rotates in the complex plane under fractional Hilbert transforms. We show that certain random signals, such as white Gaussian noise and Brownian motions, have a vanishing signature. We derive an appropriate discretization and show the applicability to signal analysis.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Complex Wavelets ; Feature Detection ; Hilbert Transform ; Phase ; Randomized Wavelet Coefficients ; Salient Feature ; Signal Analysis ; Wavelet Signature; Zero-crossings; Besov-spaces; Transform; Oscillation; Images; Phase
ISSN (print) / ISBN 1063-5203
e-ISSN 1096-603X
Zeitschrift Applied and Computational Harmonic Analysis
Quellenangaben Band: 42, Heft: 2, Seiten: 199-223 Artikelnummer: , Supplement: ,
Verlag Academic Press
Verlagsort San Diego, Calif. [u.a.]
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)