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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/805

Title: Training a Linear Neural Network with a Stable LSP Solution for Jamming Cancellation
Authors: Revunova, Elena
Rachkovskij, Dmitri
Keywords: Jamming Cancellation
Approximation
Least Squares Problem
Stable Solution
Recurrent Solution
Neural Networks
Incremental Training
Filtered SVD
Greville Formula
Issue Date: 2005
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Two jamming cancellation algorithms are developed based on a stable solution of least squares problem (LSP) provided by regularization. They are based on filtered singular value decomposition (SVD) and modifications of the Greville formula. Both algorithms allow an efficient hardware implementation. Testing results on artificial data modeling difficult real-world situations are also provided.
URI: http://hdl.handle.net/10525/805
ISSN: 1313-0463
Appears in Collections:Volume 12 Number 3

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