A probablistic neural network classification system for signal and image processing [electronic resource].
- Livermore, Calif : Lawrence Livermore National Laboratory, 1994. and Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- pages 46 : digital, PDF file
- Additional Creators:
- Lawrence Livermore National Laboratory and United States. Department of Energy. Office of Scientific and Technical Information
- The Acoustical Heart Valve Analysis Package is a system for signal and image processing and classification. It is being developed in both Matlab and C, to provide an interactive, interpreted environment, and has been optimized for large scale matrix operations. It has been used successfully to classify acoustic signals from implanted prosthetic heart valves in human patients, and will be integrated into a commercial Heart Valve Screening Center. The system uses several standard signal processing algorithms, as well as supervised learning techniques using the probabilistic neural network (PNN). Although currently used for the acoustic heart valve application, the algorithms and modular design allow it to be used for other applications, as well. We will describe the signal classification system, and show results from a set of test valves.
- Published through SciTech Connect., 11/15/1994., "conf-9411140--absts.", "DE95017252", Imaging sciences workshop, Livermore, CA (United States), 15-16 Nov 1994., and Bowman, B.
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