Adaptive filtering: algorithms and practical implementation
Diniz, Paulo S. R.
Adaptive filtering: algorithms and practical implementation - 5th ed. - New York: Springer, 2020. - xviii; 495 p. hb; 28 cm.
In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter 'Kalman Filtering is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.
9783030290566
Applied Physics
Signal Processing Digital Techniques
Adaptive Signal Processing
Adaptive Filters
Kernel Functions
Electrical Engineering
Communications Engineering
Telecommunication
Computer Engineering
621.3822 DIN
Adaptive filtering: algorithms and practical implementation - 5th ed. - New York: Springer, 2020. - xviii; 495 p. hb; 28 cm.
In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter 'Kalman Filtering is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.
9783030290566
Applied Physics
Signal Processing Digital Techniques
Adaptive Signal Processing
Adaptive Filters
Kernel Functions
Electrical Engineering
Communications Engineering
Telecommunication
Computer Engineering
621.3822 DIN
