White-Noise Filter and Smoother with Application to Seismic Data Deconvolution

Abstract The problem of estimating white noise is discussed. Using the time series analysis method, based on the vector ARMA innovation model this paper presents the new multiple-channel steady-state optimal white noise filter and smoother applied to seismic data deconvolution, which are different from Mendel's single-channel steady-state white noise estimators that are based on the state-space model and Kalman filtering