Optimal Seismic Deconvolution An Estimation-Based Approach
During the past seven years my students and I have approached the problem of seismic deconvolution from many points of view. This book brings together those seven years of work. It is addressed rent audience-practitioners of recursive estimation theory and geophysical signal processors-who, it is hoped, will be drawn closer together by it. Estimation practitioners will find that seismic deconvolution is a beautiful and rich area of application for many familiar techniques, such as Kalman filtering, optimal smoothing, maximum-likelihood parameter estimation, and maximum-likelihood detection. To these people this book will be a potpourri of applied estimation and detection theory, one that treats a variety of problems for the following models: (1) a linear time-varying system excited by Gaussian white noise, (2) a linear system excited by Bernoulli-Gaussian white noise, (3) a linear system excited by Bernoulli-Gaussian with noise, and (4) a linear system excited by a mixture of Bernoulli-Gaussian and Gaussian white noises.
Ketersediaan
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Pusat Sumber Daya Mineral, Batubara dan Panas Bumi - Jln. Soekarno Hatta No. 444, Bandung, Jawa Barat
PMB 550.34 MEN o