Automated chirp detection with diffusion entropy: Application to infrasound from sprites

M Ignaccolo, T Farges, E Blanc, Martin Füllekrug

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We study the performance of three different methods to automatically detect a chirp in background noise. (1) The standard deviation detector uses the computation of the signal to noise ratio. (2) The spectral covariance detector is based on the recognition of the chirp in the spectrogram. (3) The CASSANDRA detector uses diffusion entropy analysis to detect periodic patterns in noise. All three detectors are applied to an infrasound recording for detecting chirps produced by sprites. The CASSANDRA detector provides the best trade off between the false alarm rate and the detection efficiency.
Original languageEnglish
Pages (from-to)1039-1050
Number of pages12
JournalChaos Solitons & Fractals
Volume38
Issue number4
DOIs
Publication statusPublished - 2008

Fingerprint Dive into the research topics of 'Automated chirp detection with diffusion entropy: Application to infrasound from sprites'. Together they form a unique fingerprint.

Cite this