Polynomial Signal Processing

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. It examines all major aspects of the technology, including system modeling, speed analysis, image processing, communications, biological signal processing, semiconductor modeling, neutral sets, and more.Es gibt eine Reihe von Anwendungsgebieten der Signalverarbeitung, in denen lineare Filter die Anforderungen nicht erfüllen. Dieses Buch versucht, das Geheimnis der nichtlinearen Filter zu lüften - die Autoren machen diese Filter durch viele praktische Beispiele durchschaubar und zeigen Anwendungen für einen speziellen Filtertyp, das Polynomsignal. (10/99)
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. "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)

V. John Mathews is the Professor and Head of the School of Electrical Engineering and Computer Science at the Oregon State University, United States. Giovanni L. Sicuranza is the author of Polynomial Signal Processing, published by Wiley.