Adaptive Filtering

Algorithms and Practical Implementation

  • Paulo Sergio Ramirez Diniz

Table of contents

  1. Front Matter
    Pages i-xv
  2. Paulo Sergio Ramirez Diniz
    Pages 1-14
  3. Paulo Sergio Ramirez Diniz
    Pages 15-69
  4. Paulo Sergio Ramirez Diniz
    Pages 71-131
  5. Paulo Sergio Ramirez Diniz
    Pages 133-181
  6. Paulo Sergio Ramirez Diniz
    Pages 183-236
  7. Paulo Sergio Ramirez Diniz
    Pages 237-287
  8. Paulo Sergio Ramirez Diniz
    Pages 289-309
  9. Paulo Sergio Ramirez Diniz
    Pages 311-376
  10. Paulo Sergio Ramirez Diniz
    Pages 377-436
  11. Back Matter
    Pages 437-443

About this book


The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno­ logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized form. Presently, there is still a lot of activities going on in the area of adaptive filtering. In spite of that, the theor­ etical development in the linear-adaptive-filtering area reached a maturity that justifies a text treating the various methods in a unified way, emphasizing the algorithms that work well in practical implementation.


Adaptive Filter Matlab Signal development digital signal processing filter filtering filters information signal processing

Authors and affiliations

  • Paulo Sergio Ramirez Diniz
    • 1
  1. 1.Federal University of Rio de JaneiroBrazil

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4660-9
  • Online ISBN 978-1-4419-8660-3
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site