Adaptive filtering : fundamentals of least mean squares with MATLAB / Alexander D. Poularikas.
Material type:
TextPublication details: Boca Raton : CRC Press, c2015.Description: xx, 343 p. : illustrations ; 24 cmISBN: - 9781482253351 (paperback)
- 621.3815324 23 P874
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 621.3815324 P874 (Browse shelf(Opens below)) | Available | 136544 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| No cover image available | No cover image available | |||||||
| 621.3815324 H419 Unsupervised adaptive filtering | 621.3815324 H419 Adaptive filter theory | 621.3815324 L755 Nonlinear digital filters | 621.3815324 P874 Adaptive filtering : | 621.381533 C993 Strongly nonlinear oscillators : | 621.381533 G441 Avalanche-diode microwave oscillators | 621.381533 J74 Coupled nonlinear oscillators |
Includes bibliographical references and index.
Chapter 1. Vectors --
chapter 2. Matrices --
chapter 3. Processing of discrete deterministic signals : discrete systems --
chapter 4. Discrete-time random processes --
chapter 5. The Wiener filter --
chapter 6. Eigenvalues of Rx : properties of the error surface --
chapter 7. Newton's and steepest descent methods --
chapter 8. The least mean-square algorithm --
chapter 9. Variants of least mean-square algorithm --
Appendices --
Bibliography --
Index.
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter.
There are no comments on this title.
