Title :
Spectral analysis of gapped data
Author :
Larsson, Erik G. ; Stoica, Petre ; Li, Jim
Author_Institution :
Dept. of Syst. & Control, Uppsala Univ., Sweden
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
The matched-filterbank approach to amplitude spectrum estimation has received renewed interest. One such estimator is the amplitude and phase estimation (APES) algorithm, which has been successfully applied to a variety of problems in applications including synthetic aperture (SAR) imaging, biomedical engineering and time-series analysis. We consider the extension of APES to the spectral analysis of gapped data, i.e., to the case when parts of the data are missing. We show how this extension can be done in a most natural manner and demonstrate its excellent performance by means of numerical examples.
Keywords :
amplitude estimation; channel bank filters; filtering theory; matched filters; phase estimation; spectral analysis; SAR imaging; amplitude and phase estimation algorithm; amplitude spectrum estimation; biomedical engineering; gapped data; matched-filterbank; performance; spectral analysis; synthetic aperture imaging; time-series analysis; Amplitude estimation; Biomedical engineering; Biomedical imaging; Control systems; Finite impulse response filter; Frequency; Interpolation; Phase estimation; Spectral analysis; Synthetic aperture radar;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.910946
