Time-varying spectrum estimators

Author

Scharf, L.L. ; Friedlander, B. ; Mullis, C.T.

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA

Volume

2

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

1467

Abstract

The quadratic time-frequency representations (TFRs) that may be called time-varying spectrum estimators are derived from first principles. They turn out to be time-varying multiwindow spectrum estimators. In special cases they are time-varying spectrograms that may be written as Fourier transforms of lag-windowed, time-varying correlation sequences or as spectrally smoothed time-varying periodograms. These are not ad-hoc variations on stationary ideas to accommodate time variation. Rather they are the only variations one can obtain for time-varying spectrum analysis.

Keywords

Fourier transforms; correlation methods; sequences; signal representation; smoothing methods; spectral analysis; time-frequency analysis; Fourier transforms; lag-windowed sequences; quadratic time-frequency representations; signal representation; spectrally smoothed time-varying periodograms; time-varying correlation sequences; time-varying multiwindow spectrum estimators; time-varying spectrograms; time-varying spectrum analysis; time-varying spectrum estimators; Contracts; Delay estimation; Equations; Fourier transforms; Frequency estimation; Frequency modulation; Kernel; Laboratories; Spectrogram; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.679147

Filename

679147