Signal-to-symbol transformation: a summary of HASP/SIAP case study (sonar data)
Abstract
In the past fifteen years, ai scientists have built several signal interpretation, or understanding, programs. HASP/SIAP is one such program which tries to interest the meaning of sonar data in a particular context. An attempt is made to present a methodology for understanding signal data and to show that the traditional signal processing is but one part of the interpretation task. HASP/SIAP is also an expert system. 12 references.
- Authors:
- Publication Date:
- OSTI Identifier:
- 5209554
- Resource Type:
- Conference
- Resource Relation:
- Conference: Sponsored by IEEE, San Francisco, CA, USA, 28 Feb 1983
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; EXPERT SYSTEMS; USES; ARTIFICIAL INTELLIGENCE; DATA PROCESSING; SIGNALS; SONAR; MEASURING INSTRUMENTS; PROCESSING; RANGE FINDERS; 990200* - Mathematics & Computers
Citation Formats
Penny Nii, H. Signal-to-symbol transformation: a summary of HASP/SIAP case study (sonar data). United States: N. p., 1983.
Web.
Penny Nii, H. Signal-to-symbol transformation: a summary of HASP/SIAP case study (sonar data). United States.
Penny Nii, H. 1983.
"Signal-to-symbol transformation: a summary of HASP/SIAP case study (sonar data)". United States.
@article{osti_5209554,
title = {Signal-to-symbol transformation: a summary of HASP/SIAP case study (sonar data)},
author = {Penny Nii, H},
abstractNote = {In the past fifteen years, ai scientists have built several signal interpretation, or understanding, programs. HASP/SIAP is one such program which tries to interest the meaning of sonar data in a particular context. An attempt is made to present a methodology for understanding signal data and to show that the traditional signal processing is but one part of the interpretation task. HASP/SIAP is also an expert system. 12 references.},
doi = {},
url = {https://www.osti.gov/biblio/5209554},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Jan 01 00:00:00 EST 1983},
month = {Sat Jan 01 00:00:00 EST 1983}
}
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