Multiscale zero-crossing statistics of intrinsic mode functions for white Gaussian noise

Süleyman Baykut*, Tayfun Akgül

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)

Abstract

In this paper, the statistical characteristics of zero-crossing intervals and zero-crossing amplitudes (the time interval and the absolute value of extrema between two successive zerocrossings) of intrinsic mode functions of white Gaussian noise are studied. Intrinsic mode functions are extracted by empirical mode decomposition method. Numerous simulations are conducted and the probability distribution functions of zero-crossing intervals and amplitudes are obtained. Simulation results are included. These findings are important to determine the statistical significance of IMFs. These white noise-only case statistical characteristics can be used for signal detection and/or signal/noise separation and an efficient noise reduction can be achieved.

Original languageEnglish
Pages (from-to)135-138
Number of pages4
JournalEuropean Signal Processing Conference
Publication statusPublished - 2010
Event18th European Signal Processing Conference, EUSIPCO 2010 - Aalborg, Denmark
Duration: 23 Aug 201027 Aug 2010

Fingerprint

Dive into the research topics of 'Multiscale zero-crossing statistics of intrinsic mode functions for white Gaussian noise'. Together they form a unique fingerprint.

Cite this