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A fast least-squares algorithm for linearly constrained adaptive filtering

✍ Scribed by Resende, L.S.; Romano, J.M.T.; Bellanger, M.G.


Book ID
119790309
Publisher
IEEE
Year
1996
Tongue
English
Weight
697 KB
Volume
44
Category
Article
ISSN
1053-587X

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In this paper a modification of the standard algorithm for non-negativity-constrained linear least squares regression is proposed. The algorithm is specifically designed for use in multiway decomposition methods such as PARAFAC and N-mode principal component analysis. In those methods the typical si