9780120797608-0120797607-Tracking and Data Association (Mathematics in Science and Engineering, Vol. 179) (Mathematics in Science and Engineering, Volume 179)

Tracking and Data Association (Mathematics in Science and Engineering, Vol. 179) (Mathematics in Science and Engineering, Volume 179)

ISBN-13: 9780120797608
ISBN-10: 0120797607
Edition: 1
Author: Yaakov Bar-Shalom, Thomas E. Fortmann
Publication date: 1988
Publisher: Elsevier Science
Format: Hardcover 322 pages
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Book details

ISBN-13: 9780120797608
ISBN-10: 0120797607
Edition: 1
Author: Yaakov Bar-Shalom, Thomas E. Fortmann
Publication date: 1988
Publisher: Elsevier Science
Format: Hardcover 322 pages

Summary

Tracking and Data Association (Mathematics in Science and Engineering, Vol. 179) (Mathematics in Science and Engineering, Volume 179) (ISBN-13: 9780120797608 and ISBN-10: 0120797607), written by authors Yaakov Bar-Shalom, Thomas E. Fortmann, was published by Elsevier Science in 1988. With an overall rating of 3.7 stars, it's a notable title among other Electrical & Electronics (Engineering) books. You can easily purchase or rent Tracking and Data Association (Mathematics in Science and Engineering, Vol. 179) (Mathematics in Science and Engineering, Volume 179) (Hardcover) from BooksRun, along with many other new and used Electrical & Electronics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.94.

Description

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

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