Description

Book Synopsis
Despite our growing understanding of the properties and capabilities of nonlinear filters, there persists the belief among engineers that these filters are too complex to implement. This book debunks the myth that all nonlinear filters are complex with its coverage of the polynomial filter.

Trade Review
"A first-year graduate-level text that provides an overview of the state of the art in the area of nonlinear signal processing known as polynomial signal processing." (SciTech Book News Vol. 25, No. 2 June 2001)
"The text is clear and easy to follow - an excellent way of getting started in this area." (Ultramicroscopy, Vol.87, 2001)

Table of Contents
Volterra Series Expansions.

Realization of Truncated Volterra Filters.

Multidimensional Volterra Filters.

Parameter Estimation.

Frequency-Domain Methods for Volterra System Identification.

Adaptive Truncated Volterra Filters.

Recursive Polynomial Systems.

Inversion and Time Series Analysis.

Applications of Polynomial Filters.

Some Related Topics and Recent Developments.

Appendices.

References.

Index.

Polynomial Signal Processing

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    A Hardback by V. John Mathews, Giovanni L. Sicuranza

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      View other formats and editions of Polynomial Signal Processing by V. John Mathews

      Publisher: John Wiley & Sons Inc
      Publication Date: 15/05/2000
      ISBN13: 9780471034148, 978-0471034148
      ISBN10: 0471034142

      Description

      Book Synopsis
      Despite our growing understanding of the properties and capabilities of nonlinear filters, there persists the belief among engineers that these filters are too complex to implement. This book debunks the myth that all nonlinear filters are complex with its coverage of the polynomial filter.

      Trade Review
      "A first-year graduate-level text that provides an overview of the state of the art in the area of nonlinear signal processing known as polynomial signal processing." (SciTech Book News Vol. 25, No. 2 June 2001)
      "The text is clear and easy to follow - an excellent way of getting started in this area." (Ultramicroscopy, Vol.87, 2001)

      Table of Contents
      Volterra Series Expansions.

      Realization of Truncated Volterra Filters.

      Multidimensional Volterra Filters.

      Parameter Estimation.

      Frequency-Domain Methods for Volterra System Identification.

      Adaptive Truncated Volterra Filters.

      Recursive Polynomial Systems.

      Inversion and Time Series Analysis.

      Applications of Polynomial Filters.

      Some Related Topics and Recent Developments.

      Appendices.

      References.

      Index.

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