By Topic

Pulse signal and source identification using fuzzy-neural techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Fitch, Phillip ; University of South Australia, Australia

Fuzzy-neural systems can use the receiver digital data to provide signal processing and source identification algorithms. With further research, development, and refinement, the design concept of a fuzzy-neural system described in this article provides a basis for the more accurate measurement of signal parameters and types, with the presentation of confidence factors for the resolution of possible ambiguities when sources appear similar under certain circumstances. An area of particular research is that of determining the optimum values or perhaps learning functions to be used for weighting factors and thresholds. Similarly, the concept provides a basis for the better presentation of possible source identifications, based on the signal determinations and the content of data in references of sources.

Published in:

Aerospace and Electronic Systems Magazine, IEEE  (Volume:28 ,  Issue: 1 )