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Proceedings Paper

Spectral parameter estimation using neural network
Author(s): Tiesheng Kong; Diannong Liang
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Paper Abstract

The problem of spectral parameter estimation using Hopfield neural networks (HNN) is studied in this paper. Linear prediction method for least square (LS) estimates and Pisarenko's harmonical retrieval method for constrained least-square estimates by HNN are introduced and an improved HNN algorithm for spectral peak searching is derived. The key problem we attempt to solve is to map these actual optimization problems to proper energy functions.

Paper Details

Date Published: 16 September 1992
PDF: 11 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.139970
Show Author Affiliations
Tiesheng Kong, Changsha Institute of Technology (China)
Diannong Liang, Changsha Institute of Technology (China)


Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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