Accession Number:

ADA142202

Title:

Artificial Intelligence Applied to Spectrum Estimation.

Descriptive Note:

Technical rept.,

Corporate Author:

GEORGIA INST OF TECH ATLANTA

Personal Author(s):

Report Date:

1984-01-01

Pagination or Media Count:

5.0

Abstract:

Many techniques are available for the estimation of the power spectrum of a stationary random process. While power spectrum estimation is a problem which falls within the domain of signal processing, the problem of inferring information falls within the domain of artificial intelligence AI. With a wide variety of different types of power spectrum estimation techniques to choose from, an equally wide range of differing spectral estimates may be produced. Each estimate, however, may be used to infer information about the time series. By defining an appropriate knowledge base, a system is being developed to infer information from power spectrum estimates. This system combines the estimates produced by a variety of current spectrum estimation techniques in order to formulate a composite spectral estimate. Author

Subject Categories:

  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE