Spectral and polarization analysis of geomagnetic pulsations data using a multitaper method

Zanandrea, Ademilson; Costa, J. M. Da; Dutra, S. L. G.; Rosa, Reinaldo R.; Saotome, Osamu

doi:10.1016/j.cageo.2004.03.016

Cited by 3 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multiple orthogonal Slepian-like functions are then averaged (note that in contrast to wavelets, the Slepian-like functions are not scaled versions of one another, even though they are self-similar). This multiwavelet approach has yielded better time and frequency resolution than multitapers, especially for events with high variability (Zanandrea et al, 2004).…”

Section: Differences Between Methods Due To Parametersmentioning

confidence: 99%

Comparison of spectral analysis methods for characterizing brain oscillations

Vugt

Sederberg

Kahana

2007

Journal of Neuroscience Methods

140

101

View full text Add to dashboard Cite

Spectral analysis methods are now routinely used in electrophysiological studies of human and animal cognition. Although a wide variety of spectral methods has been used, the ways in which these methods differ are not generally understood. Here we use simulation methods to characterize the similarities and differences between three spectral analysis methods: wavelets, multitapers and P episode . P episode is a novel method that quantifies the fraction of time that oscillations exceed amplitude and duration thresholds. We show that wavelets and P episode used side-by-side helps to disentangle length and amplitude of a signal. P episode is especially sensitive to fluctuations around its thresholds, puts frequencies on a more equal footing, and is sensitive to long but low-amplitude signals. In contrast, multitaper methods are less sensitive to weak signals, but are very frequencyspecific. If frequency-specificity is not essential, then wavelets and P episode are recommended.

show abstract

Section: Differences Between Methods Due To Parametersmentioning

confidence: 99%