© 2015

Fundamentals of Adaptive Signal Processing


Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Aurelio Uncini
    Pages 91-142
  3. Aurelio Uncini
    Pages 143-204
  4. Aurelio Uncini
    Pages 205-285
  5. Aurelio Uncini
    Pages 287-349
  6. Aurelio Uncini
    Pages 351-421
  7. Aurelio Uncini
    Pages 477-578
  8. Back Matter
    Pages 579-704

About this book


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.


Adaptive Filtering Adaptive Signal Processing Array Processing Discrete-Time Circuits Discrete-Time Signals Learning Algorithms Least Squares Method MIMO Adaptive Filteing Recursive Order Algorithms

Authors and affiliations

  1. 1.DIETSapienza University of RomeRomeItaly

About the authors

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 (CIS) research center at Sapienza University of Rome.

Bibliographic information