A method for optimizing the ambiguity function concentration

Autor: Feichtinger, H. G., Darian Onchis M., Ricaud, B., Torrésani, B., Wiesmeyr, C.
Přispěvatelé: Numerical Harmonic Analysis Group, Faculty of Mathematics (NuHAG), Universität Wien, Laboratoire d'Analyse, Topologie, Probabilités (LATP), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Torrésani, Bruno
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Proceedings of EUSIPCO 2012
EUSIPCO 2012, European Signal Processing Conference
EUSIPCO 2012, European Signal Processing Conference, Aug 2012, Bucarest, Romania. pp.804-808
Scopus-Elsevier
Popis: International audience; In the context of signal analysis and transformation in the time-frequency (TF) domain, controlling the shape of a waveform in this domain is an important issue. Depending on the application, a notion of optimal function may be defined through the properties of the ambiguity function. We present an iterative method for providing such optimal functions under a general concentration constraint of the ambiguity function. At each iteration, it follows a variational approach which maximizes the ambiguity localization via a user-defined weight function F . Under certain assumptions on this latter function, it converges to a waveform which is optimal according to the localization criterion defined by F .
Databáze: OpenAIRE