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Fully revised and expanded textbook, now in its 5th edition, on adaptive signal processing adaptive filtering
Features problems, references, exercises, applications, and MATLAB code so readers can test algorithms
Includes a new chapter on Kalman Filtering and several expanded chapters
Request lecturer material: [...]
Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Kalman Filtering.- Complex Differentiation.- Quantization Effects in the LMS Algorithm.- Quantization Effects in the RLS Algorithm.- Analysis of Set-Membership Affine Projection Algorithm.- Index.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xviii
495 S. 209 s/w Illustr. 23 farbige Illustr. 495 p. 232 illus. 23 illus. in color. |
ISBN-13: | 9783030290566 |
ISBN-10: | 3030290565 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Diniz, Paulo S. R. |
Auflage: | 5th ed. 2020 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG |
Maße: | 285 x 215 x 34 mm |
Von/Mit: | Paulo S. R. Diniz |
Erscheinungsdatum: | 24.12.2019 |
Gewicht: | 1,498 kg |
Fully revised and expanded textbook, now in its 5th edition, on adaptive signal processing adaptive filtering
Features problems, references, exercises, applications, and MATLAB code so readers can test algorithms
Includes a new chapter on Kalman Filtering and several expanded chapters
Request lecturer material: [...]
Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Kalman Filtering.- Complex Differentiation.- Quantization Effects in the LMS Algorithm.- Quantization Effects in the RLS Algorithm.- Analysis of Set-Membership Affine Projection Algorithm.- Index.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xviii
495 S. 209 s/w Illustr. 23 farbige Illustr. 495 p. 232 illus. 23 illus. in color. |
ISBN-13: | 9783030290566 |
ISBN-10: | 3030290565 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Diniz, Paulo S. R. |
Auflage: | 5th ed. 2020 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG |
Maße: | 285 x 215 x 34 mm |
Von/Mit: | Paulo S. R. Diniz |
Erscheinungsdatum: | 24.12.2019 |
Gewicht: | 1,498 kg |