Title :
A separable 2-D autoregressive spectral estimation algorithm
Author :
Joyce, Lawrence S.
Author_Institution :
Environmenytal Research Institute of Michigan, Ann Arbor, Michigan
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; Entropy; Extrapolation; Fourier transforms; Frequency estimation; Sampling methods; Signal generators; Signal processing; Signal resolution; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
DOI :
10.1109/ICASSP.1979.1170791
