A separable 2-D autoregressive spectral estimation algorithm

24 March 2005

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 4, 677-680
https://doi.org/10.1109/icassp.1979.1170791

Abstract

In this paper, a direct-data, 2-D spectral estimation technique is presented, in which the 1-D autoregressive properties of the data are exploited independently in both dimensions. For 2-D, multiple complex sinusoids in white noise, a significant improvement in 2-D resolution is obtained.

Keywords

AUTOCORRELATION
FOURIER TRANSFORMS
FREQUENCY ESTIMATION
WHITE NOISE
SIGNAL RESOLUTION
ENTROPY
EXTRAPOLATION
SIGNAL GENERATORS
SIGNAL PROCESSING
SAMPLING METHODS

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