Performance comparison among nonparametric probability density estimator, radial basis function, and adaptive wavelet transform neural networks

Weigang Li; Harold H. Szu; Joao Fernando Marar; Leonardo Deane Sa; Edson C. B. Carvalho Filho

doi:10.1117/12.271709

3 April 1997 Performance comparison among nonparametric probability density estimator, radial basis function, and adaptive wavelet transform neural networks

Weigang Li, Harold H. Szu, Joao Fernando Marar, Leonardo Deane Sa, Edson C. B. Carvalho Filho

Author Affiliations +

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271709
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Wavelet shrinkage, radial basis function (RBF) have been studied for signal reconstructions. We first use these methods to approximate four specific functions which represent various spatially nonhomogeneous phenomena. Next, we apply these methods to analyze a time series of Paraguay River levels. From the preliminary experiments, we show that wavelet shrinkage was the best estimator. With similar result, secondly came AWTNN and lastly came RBF networks.

Citation Download Citation

Weigang Li, Harold H. Szu, Joao Fernando Marar, Leonardo Deane Sa, and Edson C. B. Carvalho Filho "Performance comparison among nonparametric probability density estimator, radial basis function, and adaptive wavelet transform neural networks", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271709

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available