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Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.
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Quantitative methods (economics) --- Inference --- Learning --- Big data --- Mathematical models --- Statistical methods --- Data sets, Large --- Large data sets --- Data sets --- Learning process --- Comprehension --- Education --- Ampliative induction --- Induction, Ampliative --- Inference (Logic) --- Reasoning --- 519.23 --- 519.23 Statistical analysis. Inference methods --- Statistical analysis. Inference methods
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Algorithms --- Matrices --- #TELE:SISTA --- 305.976 --- AA / International- internationaal --- 519.6 --- 681.3*G13 --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Computational mathematics. Numerical analysis. Computer programming --- Algorism --- Algebra --- Arithmetic --- Data processing --- Algoritmen. Optimisatie --- Foundations --- Computer science
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H [infinity symbol] control --- Estimation theory --- Commande H-infini --- Théorie de l'estimation
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