Md_QEQUT DETECTIQN BY AN AUTOCORRELATION MATRIX METHOD

,4n investigation is made of the application of the autocorrelation matrix method to the anal-ysis of moveout. A number of multichannel Wiener filters are computed to pass/reject corre-lated events. Experiments are performed on a variety of synthetic data in order to ascertain how such filters will perform in a given situation. It is shown that very low levels of signal can be successfully recovered and a very close match must exist between the moveouts present in the data and those specified for the particular filter design. The “average ” or second order autocorre-lation matrix is developed, and a multichannel filter scan of a column from this matrix is incorpo-rated in the former method. Experiments are per-formed on synthetic data for different noise con-ditions in order to ascertain the ability of these methods to detect low-power correlated events. It is shown that such detection can be successful, provided the random noise is not too severe. Re-sults from the analyses of real data records are consistent with those of the synthetic case