Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior

Bayesian Estimation and classification. Hidden markov models. Wiener filters. Kalman and adaptive least squared error filters.

Addresses the construction, analysis, and interpretation of mathematical and statistical models. The practical use of the concepts and techniques developed is i

Digital signal processing has become more and more an integral part of observational seismology. While it offers unprecedented power in extracting information f