Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace.
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Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace.
Read Less
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New. Contains: Illustrations, black & white, Illustrations, color. XXI, 487 p. 51 illus., 27 illus. in color. Intended for professional and scholarly audience.
Add this copy of Coherence: In Signal Processing and Machine Learning to cart. $220.05, new condition, Sold by Ria Christie Books rated 5.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2023 by Springer International Publishing AG.
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New. Contains: Illustrations, black & white, Illustrations, color. XXI, 487 p. 51 illus., 27 illus. in color. Intended for professional and scholarly audience.
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