Here is a fresh, broad, and systematic treatment of adaptive filtering, a subject of immense practical and theoretical value. The author illustrates extensive commonalities that exist among different classes of adaptive algorithms and even among different filtering theories. He also provides a uniform treatment of the subject matter, addressing some existing limitations, providing additional insights, and detailing extensions of current theory. The book is designed to be self-contained, with careful attention given to appendices, problems, examples, and a variety of practical computer projects. The bibliography is up-to-date with extensive commentaries on how the contributions relate to each other in time and in context. Each chapter includes concepts that reinforce the principles covered, bibliographic notes for further study, numerous problems that vary in difficulty and applications, computer projects that illustrate real-life applications, and helpful appendices.
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Fundamentals of Adaptive Filtering. Authors; Authors and affiliations; Paulo Sergio Ramirez; Chapter. 302 Downloads; Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 694) Abstract. This chapter includes a brief review of deterministic and random signal representations. Due to the extent of those subjects our review is limited to the
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