2015, XXV, 704 p. 280 illus., 242 illus. in color.
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Explains the fundamental concepts of adaptive signal processing
Provides robust algorithms and evaluation tools for a wide range of application scenarios
Uses a simple mathematical language but adopts a rigorous approach
Includes detailed appendices, ensuring the text is self-contained
This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application scenarios. Examples include multimodal and multimedia communications, the biological and biomedical fields, economic models, environmental sciences, acoustics, telecommunications, remote sensing, monitoring, and, in general, the modeling and prediction of complex physical phenomena. The reader will learn not only how to design and implement the algorithms but also how to evaluate their performance for specific applications utilizing the tools provided. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for courses of study.
Content Level »Graduate
Keywords »Adaptive Filtering - Adaptive Signal Processing - Array Processing - Discrete-Time Circuits - Discrete-Time Signals - Learning Algorithms - Least Squares Method - MIMO Adaptive Filteing - Recursive Order Algorithms
Discrete-Time Signals and Circuits Fundamentals.- Introduction to Adaptive Signal Processing.- Optimal Linear Filter Theory.- Least Squares Method.- First Order Adaptive Algorithms.- Second Order Adaptive Algorithms.- Block and Transform Domain Algorithms.- Linear Prediction and Recursive Order Algorithms.- Discrete Space-Time Filtering.- Appendix A: Linear Algebra Foundation.- Appendix B: Non Linear Programming Fundamentals.-Appendix C: Random Variables, Stochastic Processes and Estimation Theory.
Distribution rights for India: Researchco Book Centre, New Delhi, India