Multitaper estimation over multiresolution subspaces

We apply the multitaper spectral estimation method over multiresolution subspaces to analyze nonstationary data. We define a measure of stationarity continuous between 0 and 1 and use it to show that multiresolution subspace projections of a process rank closer to being stationary than the original...

Full description

Saved in:
Bibliographic Details
Main Authors: Erdol, N., Kaskarovska, V.S., Tourinho, R.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic applications
Acoustic measurements
Acoustic signal processing
Acoustics
Aeroacoustics, atmospheric sound
Data analysis
Density measurement
Energy measurement
Energy resolution
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Physics
Power measurement
Signal generators
Signal processing
Signal resolution
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We apply the multitaper spectral estimation method over multiresolution subspaces to analyze nonstationary data. We define a measure of stationarity continuous between 0 and 1 and use it to show that multiresolution subspace projections of a process rank closer to being stationary than the original process. Our measure is based on the ratio of the energy of the power spectral density S(f, upsi) in the neighborhood of the f = - upsiline to the total energy as a measure to "stationarize" a process. We show that the increase in stationarity is a function of the wavelet transformation, or restriction of the process to a multiresolution subspace, rather than the process itself. We show results of the application to acoustic signals generated by an airplane in the landing process
ISSN:1551-2541
2378-928X
DOI:10.1109/MLSP.2004.1422981