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  6. Volume 12 Number 3
  7. Training a Linear Neural Network with a Stable LSP Solution for Jamming Cancellation

Training a Linear Neural Network with a Stable LSP Solution for Jamming Cancellation

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Authors: Revunova, ElenaRachkovskij, Dmitri
Issue Date: 2005
ISSN: 1313-0463
URI: http://hdl.handle.net/10525/805 Copy to clipboard
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.
Language: en
Publisher: Institute of Information Theories and Applications FOI ITHEASubject: Jamming CancellationApproximationLeast Squares ProblemStable SolutionRecurrent SolutionNeural NetworksIncremental TrainingFiltered SVDGreville Formula
Type: Article