An Object-Oriented System for Full Waveform Data Processing

A new approach to the processing of sequences of full waveform acoustic logs is investigated. The rationale for this approach is primarily based on the observation that processing and interpretation tasks strongly depend on each other. Hence, a system that incorporates geologic knowledge in data processing naturally and uses processing results for petrophysical evaluation can improve the overall geological interpretation. The implementation of such ideas requires the use of a versatile computer environment, allowing numeric and symbolic processing. The new generation of Lisp machines satisfies these characteristics. An interactive environment for the processing of sequences of acoustic signals was designed using object-oriented programming. The package includes a novel method for acoustic full waveform signal matching that uses dynamic time warping. The system is tested on synthetic data and field data are processed.Massachusetts Institute of Technology. Full Waveform Acoustic Logging Consortiu

Application of knowledge-based techniques to fault diagnosis of 16 QAM digital microwave radio equipment

SIGLEAvailable from British Library Document Supply Centre- DSC:D86372 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A knowledge-based approach to full wave data processing

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1987.Microfiche copy available in Archives and Science.Bibliography: leaves 71-75.by Marc H. Larrère.M.S

A model for interactive computation : applications to speech research

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.Includes bibliographical references (p. 157-159).by Michael K. McCandless.Ph.D

Signal processing and interpretation using multilevel signal abstractions

Originally presented as author's thesis (Ph. D.--Massachusetts Institute of Technology), 1986.Bibliography: p. 216-219.Supported in part by the Advanced Research Projects Agency monitored by ONR under contract no. N00014-81-K-0742 Supported in part by the National Science Foundation under grant ECS-8407285Evangelos E. Milios