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, ElenaRachkovskij, Dmitri Keywords: Jamming CancellationApproximationLeast Squares ProblemStable SolutionRecurrent SolutionNeural NetworksIncremental TrainingFiltered SVDGreville 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

Files in This Item:

File Description SizeFormat