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Adaptive Digital Filters, by Branko Kovačević, Zoran Banjac, Milan Milosavljević
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“Adaptive Digital Filters” presents an important discipline applied to the domain of speech processing. The book first makes the reader acquainted with the basic terms of filtering and adaptive filtering, before introducing the field of advanced modern algorithms, some of which are contributed by the authors themselves. Working in the field of adaptive signal processing requires the use of complex mathematical tools. The book offers a detailed presentation of the mathematical models that is clear and consistent, an approach that allows everyone with a college level of mathematics knowledge to successfully follow the mathematical derivations and descriptions of algorithms.
The algorithms are presented in flow charts, which facilitates their practical implementation. The book presents many experimental results and treats the aspects of practical application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others interested in mastering this important field.
- Sales Rank: #3940448 in eBooks
- Published on: 2013-06-21
- Released on: 2013-06-21
- Format: Kindle eBook
Review
From the book reviews:
“The volume arose as the product of a scientific activity carried out in some research centers in Serbia, at Belgrade. … Firstly, it provides a clear and consistent presentation of the mathematical models underlying the adaptive filtering. The mathematical level corresponds to undergraduate and graduate students in Electrical Engineering, so we conclude that the present volume will be of high interest to this student area.” (Dumitru Stanomir, zbMATH, Vol. 1301, 2015) From the Back Cover
“Adaptive Digital Filters” presents an important discipline applied to the domain of speech processing. The book first makes the reader acquainted with the basic terms of filtering and adaptive filtering, before introducing the field of advanced modern algorithms, some of which are contributed by the authors themselves. Working in the field of adaptive signal processing requires the use of complex mathematical tools. The book offers a detailed presentation of the mathematical models that is clear and consistent, an approach that allows everyone with a college level of mathematics knowledge to successfully follow the mathematical derivations and descriptions of algorithms.
The algorithms are presented in flow charts, which facilitates their practical implementation. The book presents many experimental results and treats the aspects of practical application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others interested in mastering this important field.
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