A hybrid adaptive subtraction method

Antoine Guitton

antoine@sep.stanford.edu

ABSTRACT

A hybrid adaptive subtraction scheme is proposed. This hybrid scheme uses prediction-error filters as covariance operators within the filter-estimation step. This methods proves to be the most efficient when the noise and signal interfere. Although prediction-error filters are utilized, this technique is not a pattern-recognition technique: it simply tries to remove the correlated signal information to unbias the estimation of the matched-filters. Tests on synthetic and real data for a multiple attenuation problem illustrate the efficiency of the proposed scheme.