: Empirical comparison of the two segment maximum likelihood f-k spectra with fast frequency domain beam f-k spectra (FKCOMB), FKPLOT) shows that the latter is more suitable for the separation of multiple signals if the amplitudes of the signals differ considerably. This advantage of the beaming process is attributed primarily to the stripping procedure, which has not been developed for the maximum likelihood spectra. The maximum likelihood f-k spectra, on the other hand, are less sensitive to the array response and easier to interpret, especially if the array used contains only a few elements, since the sidelobes of the array response are more confusing on the FKCOMB output of this case.

Comparison of Two Segment Maximum Likelihood (TSML) Frequency Wavenumber Spectra with the Fast Beamed Frequency Wavenumber Spectra (FKPLOT)

: The relative resolution and stability of conventional and new methods of spectral estimation are investigated. Techniques considered are conventional beamsteer, maximum likelihood, maximum entropy and principle components. These techniques are evaluated using both synthetic data and real seismic data from the TFO extended short-period array.

Extended Array Evaluation Program. Special Report No. 2. Resolution and Stability of Wavenumber Spectral Estimates

: Principal component analysis, eigenvalue-eigenvector decomposition of array spectral matrices, has been proposed by several authors as a technique for the separation of the signal components of mixed signals observed at an array since the eigenvectors of the spectral matrix often resemble signal delay vectors. This report is a critical evaluation of the method.

E A Flinn

Papers

A Study of Principal Component Analysis as Applied to Separation of Multiple Plane Waves