Adaptive Filter Theory:United States Edition
CONTENTSPrefaceAcknowledgmentsBackground and Preview Chapter 1 Stochastic Processes and Models Chapter 2 Wiener Filters Chapter 3 Linear Prediction Chapter 4 Method of Steepest Descent Chapter 5 Least-Mean-Square Adaptive Filters Chapter 6 Normalized Least-Mean-Square Adaptive Filters Chapter 7 Frequency-Domain and Subband Adaptive Filters Chapter 8 Method of Least Squares Chapter 9 Recursive Least-Square Adaptive Filters Chapter 10 Kalman Filters Chapter 11 Square-Root Adaptive Filters Chapter 12 Order-Recursive Adaptive Filters Chapter 13 Finite-Precision Effects Chapter 14 Tracking of Time-Varying Systems Chapter 15 Adaptive Filters Using…
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Produktdetails
- ISBN: 978-0-13-090126-2
- EAN: 9780130901262
- Produktnummer: 1397647
- Verlag: Pearson Academic
- Sprache: Englisch
- Erscheinungsjahr: 2001
- Seitenangabe: 920 S.
- Masse: 1'470 g
- Auflage: 4. A.
- Gewicht: 1470
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