Save today: Get 40% off Social Science print books or $30 off eBooks in Engineering & Energy!

The Springer International Series in Engineering and Computer Science

Adaptive Filtering

Algorithms and Practical Implementation

Authors: Diniz, Paulo S. R.

Free Preview

Buy this book

eBook n/a
  • ISBN 978-1-4419-8660-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-0-7923-9912-4
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-1-4613-4660-9
  • Free shipping for individuals worldwide
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.

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook n/a
  • ISBN 978-1-4419-8660-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-0-7923-9912-4
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-1-4613-4660-9
  • Free shipping for individuals worldwide
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Adaptive Filtering
Book Subtitle
Algorithms and Practical Implementation
Authors
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
399
Copyright
1997
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4419-8660-3
DOI
10.1007/978-1-4419-8660-3
Hardcover ISBN
978-0-7923-9912-4
Softcover ISBN
978-1-4613-4660-9
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XV, 443
Topics