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Generalizations and new Trends

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Nonlinear Digital Filters

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 84))

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Abstract

Nonlinear digital filters have had an impressive growth in the past two decades. This growth continues nowadays and gives new theoretical results, new filtering tools, and interesting applications. In the following, generalizations and current trends in nonlinear filtering will be described.

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Authors and Affiliations

  1. Aristotelian University of Thessaloniki, Greece

    I. Pitas

  2. University of Toronto, Canada

    A. N. Venetsanopoulos

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  1. I. Pitas
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  2. A. N. Venetsanopoulos
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© 1990 Springer Science+Business Media New York

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Pitas, I., Venetsanopoulos, A.N. (1990). Generalizations and new Trends. In: Nonlinear Digital Filters. The Springer International Series in Engineering and Computer Science, vol 84. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6017-0_10

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  • DOI: https://doi.org/10.1007/978-1-4757-6017-0_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5120-5

  • Online ISBN: 978-1-4757-6017-0

  • eBook Packages: Springer Book Archive

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