Time-frequency tools of signal processing for EISCAT data analysis
Abstract. We demonstrate the usefulness of some signal-processing tools for the EISCAT data analysis. These tools are somewhat less classical than the familiar peri-odogram, squared modulus of the Fourier transform, and therefore not as commonly used in our community. The first is a stationary analy...
| Main Authors: | , |
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| Format: | Text |
| Language: | English |
| Published: |
1996
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.5083 http://hal.archives-ouvertes.fr/docs/00/32/90/66/PDF/angeo-14-1513-1996.pdf |
| Summary: | Abstract. We demonstrate the usefulness of some signal-processing tools for the EISCAT data analysis. These tools are somewhat less classical than the familiar peri-odogram, squared modulus of the Fourier transform, and therefore not as commonly used in our community. The first is a stationary analysis, ‘‘Thomson’s estimate’ ’ of the power spectrum. The other two belong to time-frequency analysis: the short-time Fourier transform with the spec-trogram, and the wavelet analysis via the scalogram. Because of the highly non-stationary character of our geophysical signals, the latter two tools are better suited for this analysis. Their results are compared with both a synthetic signal and EISCAT ion-velocity measure-ments. We show that they help to discriminate patterns such as gravity waves from noise. 1 |
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