Journal article
Neural networks expand SP's horizons
Abstract
Advanced algorithms for signal processing simultaneously account for nonlinearity, nonstationarity, and non-Gaussianity. The article examines the use of neural networks as an engineering tool for signal processing applications. The aim is three fold: to articulate a new philosophy in the approach to statistical signal processing using neural networks, which (either by themselves or in combination with other suitable techniques) account for the …
Authors
Haykin S
Journal
IEEE Signal Processing Magazine, Vol. 13, No. 2, pp. 24–49
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
March 1996
DOI
10.1109/79.487040
ISSN
1053-5888