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| Title | Theory and Design of Adaptive Filters |
| Author | Treichler, John R |
| ISBN-13 | 9788120321663 |
| Publication | PHI-PARALLEL |
This text introduces the fundamental concepts of adaptive filters in a unique blend of theory and application. It offers the basic rules and algorithms for filter performance and provides tools for design, along with an appreciation of the complexity of behavioural analysis. The authors explain the practical need for and utility of adaptive filters by presenting a comprehensive discussion of implemen-tation details of four signal processing problems rather than superficially examining an extensive list of possible applications. Table of Contents Preface. 1. The Need for Adaptive Filtering. 2. Basic Principles of Adaptive Filtering. 3. An Analytical Framework for Developing Adaptive Algorithms. 4. Algorithms for Adapting FIR Filters. 5. Algorithms for Adapting IIR Filters. 6. Adaptive Algorithms for Restoring Signal Properties. 7. Implementation Issues. 8. Design Example: Hum Removal for an Electrocardiagram Monitor. 9. Design Example: Multipath Correction for Troposcatter Signals. 10. Design Example: Modeling the Propagation Path for a Digital Television Signal. 11. Design Example: Enhancing Signal Reception Quality Using an Array of Antennas. 12. Epilog. Appendix A: Adaptive Filtering in MATLAB. Bibliography. Index.
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This text introduces the fundamental concepts of adaptive filters in a unique blend of theory and application. It offers the basic rules and algorithms for filter performance and provides tools for design, along with an appreciation of the complexity of behavioural analysis. The authors explain the practical need for and utility of adaptive filters by presenting a comprehensive discussion of implemen-tation details of four signal processing problems rather than superficially examining an extensive list of possible applications. Table of Contents Preface. 1. The Need for Adaptive Filtering. 2. Basic Principles of Adaptive Filtering. 3. An Analytical Framework for Developing Adaptive Algorithms. 4. Algorithms for Adapting FIR Filters. 5. Algorithms for Adapting IIR Filters. 6. Adaptive Algorithms for Restoring Signal Properties. 7. Implementation Issues. 8. Design Example: Hum Removal for an Electrocardiagram Monitor. 9. Design Example: Multipath Correction for Troposcatter Signals. 10. Design Example: Modeling the Propagation Path for a Digital Television Signal. 11. Design Example: Enhancing Signal Reception Quality Using an Array of Antennas. 12. Epilog. Appendix A: Adaptive Filtering in MATLAB. Bibliography. Index.
Treichler, John R is the author of Theory and Design of Adaptive Filters.
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| Title | Theory and Design of Adaptive Filters |
| Author | Treichler, John R |
| ISBN-13 | 9788120321663 |
| Publication | PHI-PARALLEL |
This text introduces the fundamental concepts of adaptive filters in a unique blend of theory and application. It offers the basic rules and algorithms for filter performance and provides tools for design, along with an appreciation of the complexity of behavioural analysis. The authors explain the practical need for and utility of adaptive filters by presenting a comprehensive discussion of implemen-tation details of four signal processing problems rather than superficially examining an extensive list of possible applications. Table of Contents Preface. 1. The Need for Adaptive Filtering. 2. Basic Principles of Adaptive Filtering. 3. An Analytical Framework for Developing Adaptive Algorithms. 4. Algorithms for Adapting FIR Filters. 5. Algorithms for Adapting IIR Filters. 6. Adaptive Algorithms for Restoring Signal Properties. 7. Implementation Issues. 8. Design Example: Hum Removal for an Electrocardiagram Monitor. 9. Design Example: Multipath Correction for Troposcatter Signals. 10. Design Example: Modeling the Propagation Path for a Digital Television Signal. 11. Design Example: Enhancing Signal Reception Quality Using an Array of Antennas. 12. Epilog. Appendix A: Adaptive Filtering in MATLAB. Bibliography. Index.