Base line estimation using sparse nonlinear operators

Authors:
Sami J. Inkinen;Yrjö Neuvo
Affiliations:
European Laboratory for Particle Physics, CERN/ECP RD12, CH-1211 Geneva 23, Switzerland and Nokia Mobile Phones, P.O. Box 88, FIN 33721 Tampere, Finland;Nokia Mobile Phones Ltd., P.O. Box 83, FIN-02601 Espoo, Finland
Venue:
Signal Processing
Year:
2002

Citing 4
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Abstract

Efficient nonlinear operators for base line estimation of high energy physics detector signals are introduced. Due to the high processing rate requirements the operators are simplified using sparse input sequences. The operators are a sparse order statistic filter, a sparse L-filter and a sparse Kronecker Ll-filter. Each filter is optimized using a total cost function minimization algorithm based on the conjugate gradient search. The performance of different operators is compared using simulated detector signal sequences.