Title :
Smoothing one dimensional signals using sieves and weightless neural nets
Author :
Bangham, J. Andrew ; Tattersall, Graham D.
Author_Institution :
Sch. of Inf. Syst., East Anglia Univ., Norwich, UK
Abstract :
An adaptive nonlinear filter is described. It is demonstrated to generalise over both standard linear and nonlinear filters and to reject noise from smoothly changing and discontinuous signals. It is placed in the context of a nonlinear multiscale decomposition, sieve, that can be used to characterise nonlinear filters
Keywords :
adaptive filters; adaptive signal processing; neural nets; nonlinear filters; smoothing methods; adaptive nonlinear filter; discontinuous signals; nonlinear multiscale decomposition; one dimensional signals; sieves; smoothly changing signals; weightless neural nets;
Conference_Titel :
Non-Linear Filters, IEE Colloquium on
Conference_Location :
London
