Active tectonics is the study of dynamic tectonic processes that shape the landscape and have an impact on human society. Tectonic geomorphology is the part of active tectonics that is concerned with landforms produced by tectonic processes and the application of geomorphic principles to tectonic problems. Tectonic geomorphology increasingly has become one of the principal tools in a variety of applications, including identification of active faults, formation of geologic structures, seismic-hazard assessment, and the study of landscape evolution. Tectonic geomorphology has proven to be useful in these applications because tectonically produced landforms are created and preserved over time intervals ideal for recording landscape change. <...>

This book is rather broad in that it covers many disciplines regarding both mathematical tools (algebra, calculus, statistics) and application areas (airborne, automotive, communication and standard signal processing and automatic control applications). The book covers all the theory an applied engineer or researcher can ask for: from algorithms with complete derivations, their properties to implementation aspects.

Metal adsorption and desorption are crucial processes in the remediation of contaminated surficial geomedia (e.g., soils) and aquifers. Contaminant transport modeling, which necessarily includes some adsorption parameter, has important uses in anticipating the direction, speed, and extent of contaminant migration in ground water. Adsorption processes are of vital importance in many industrial processes in the beneficiation of various ores (some of which were formed largely as the result of adsorption processes).

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications to exploration seismology using real world examples. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of DSP. Deterministic DSP is then covered, together with non-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear-prediction filtering, and seismic wavelet processing. With over 60 end-of-chapter exercises, seismic data sets, and data processing MATLAB codes included, this is an ideal resource for electrical engineering students unfamiliar with seismic data, and for earth scientists and petroleum professionals interested in DSP techniques.