By Topic

A neural network approach to the detection problem using joint time-frequency distributions

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

2 Author(s)
Malkoff, D.B. ; General Electric Aerospace, Moorstown, NJ, USA ; Cohen, L.

A neural network algorithm for the detection and classification of transients in noise is described. The inputs are time-frequency representations modified so their entry location into the network of nodes is independent of the starting time of the transient. The algorithm is three-layered and feedforward, and is capable of training or testing in a single pass

Published in:

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Date of Conference:

3-6 Apr 1990