Statistical and adaptive signal processing : spectral estimation, signal modeling, adaptive filtering, and array processing
- Title
- Statistical and adaptive signal processing : spectral estimation, signal modeling, adaptive filtering, and array processing / Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon.
- Published by
- Boston : McGraw-Hill, [2000], ©2000.
- Author
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Displaying 1 item
| Status | Format | Access | Call number | Item location |
|---|---|---|---|---|
| Status | FormatText | AccessRequest in advance | Call numberTK5102.9 .M36 2000 | Item locationOff-site |
Details
- Additional authors
- Description
- xix, 796 pages : illustrations; 27 cm.
- Series statement
- McGraw-Hill series in electrical and computer engineering. Computer engineering
- Uniform title
- McGraw-Hill series in electrical and computer engineering. Computer engineering.
- Subject
- Contents
- 1. Introduction -- 2. Fundamentals of Discrete-Time Signal Processing -- 3. Random Variables, Vectors, and Sequences -- 4. Linear Signal Models -- 5. Nonparametric Power Spectrum Estimation -- 6. Optimum Linear Filters -- 7. Algorithms and Structures for Optimum Linear Filters -- 8. Least-Squares Filtering and Prediction -- 9. Signal Modeling and Parametric Spectral Estimation -- 10. Adaptive Filters -- 11. Array Processing -- 12. Further Topics -- App. A. Matrix Inversion Lemma -- App. B. Gradients and Optimization in Complex Space -- App. C. Matlab Functions -- App. D. Useful Results from Matrix Algebra -- App. E. Minimum Phase Test for Polynomials.
- Owning institution
- Columbia University Libraries