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

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.