Marcelino Martinez_Sober⁽¹⁾, EMILIO SORIA OLIVAS⁽²⁾, Antonio J. Serrano López⁽³⁾, Alfredo Rosado⁽⁴⁾, José David Martín Guerrero^(5)
(1)Universidad de Valencia - Burjassot. Spain
⁽²⁾DPTO INGENIERÍA ELECTRONICA. FACULTAD DE FISICAS - BURJASSOT/VALENCIA. Spain
⁽³⁾Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
⁽⁴⁾Departamento de Electrónica. Universidad de Valencia - Burjassot. Spain
⁽⁵⁾G.P.D.S. Departament d´Enginyeria Electrònica. Universitat de València - Burjassot. Spain

	[New Technology]	[Cardiolovascular Diseases]	[Obstetrics & Gynecology]

CONCLUSIONS

Adding a non-linear stage at the output of the basic LMS improves its performance in applications such as binary classification and system identification. The bottleneck of this approach is its low velocity of convergence. To increase it, a new recursive learning algorithm based on Rumelhart´s procedure ⁽²⁾ is proposed. The performance of the system is shown in an application that pursues the extraction of the fetal ECG from maternal surface abdominal recordings. The outcome of the filtering favourably compares to the basic LMS with the added advantage of not requiring any adaptation constant.

Discussion Board

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[ABSTRACT] [INTRODUCTION] [MATHEMATICAL DEVELOPMENT] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]

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	[New Technology]	[Cardiolovascular Diseases]	[Obstetrics & Gynecology]

Marcelino Martinez_Sober, EMILIO SORIA OLIVAS, Antonio J. Serrano López, Alfredo Rosado, José David Martín Guerrero
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Last update: 17/01/00