Adaptive Filtering Primer with MATLAB
By Alexander D. Poularikas Zayed M. Ramadan
Primer Filtering Adaptive Primer explains with MATLAB Adaptive Filter basics supported by many examples and computer simulations. It also offers many MATLAB and M functions along with computer experiments to illustrate how concepts apply to real-world problems. The book includes issues along with hints, suggestions, and solutions to resolve. An appendix to the matrix calculations complements the stand-alone coverage.
- Author
- Alexander D. Poularikas Zayed M. Ramadan
- Language
- English
- Size
- 2.64 Mb
- Pages
- 202
- Format
- Year
- 2006
- Edition
- 1
About This Book
Primer Filtering Adaptive Primer explains with MATLAB Adaptive Filter basics supported by many examples and computer simulations. It also offers many MATLAB and M functions along with computer experiments to illustrate how concepts apply to real-world problems. The book includes issues along with hints, suggestions, and solutions to resolve. An appendix to the matrix calculations complements the stand-alone coverage.
Contents
- Chapter 1: Introduction
- Chapter 2: Discrete-time signal processing
- Chapter 3: Random variables,sequences,and stochastic processes
- Chapter 4: Wiener filters
- Chapter 5: Eigenvalues of Rx properties of the error surface
- Chapter 6: Newton and steepest-descent method
- Chapter 7: The least mean-square (LMS) algorithm
- Chapter 8: Variations of LMS algorithms
- Chapter 9: Least squares and recursive least-squares signal processing