Fundamentals of Adaptive Signal Processing [Hardcover]

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.

Full of robust algorithms and evaluation tools suitable for a wide range of application scenarios, this self-contained text explains the fundamental concepts underlying adaptive signal processing and combines rigor with accessible mathematical language.

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.

Aurelio Uncini is full Professor at Sapienza University of Rome, Italy, teaching Circuits Theory, Adaptive Algorithm and Parallel Computing, Digital Audio Processing. He is the director of the laboratory of Intelligent Signal Processing and Multimedia (ISPAMM) and co-founder of Cyber Intelligence and Information Security (ls5