Fundamentals of Adaptive Signal Processing

  • Aurelio¬†Uncini

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

  • Aurelio¬†Uncini
    • 1
  1. 1.DIETSapienza University of RomeRomeItaly

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-02806-4
  • Online ISBN 978-3-319-02807-1
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site
Industry Sectors
IT & Software
Oil, Gas & Geosciences