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Two-Dimensional Nonrecursive Filters

  • J. G. Fiasconaro
Part of the Topics in Applied Physics book series (TAP, volume 6)

Abstract

This chapter deals primarily with four techniques for designing two-dimensional nonrecursive digital filters. These methods include: the use of window functions, frequency sampling, the straightforward application of linear programming, and a new algorithm that was developed by the author. The theory required to understand these four algorithms is presented in Section 3.1. That section discusses general two-dimensional discrete systems, some of the aspects of the theory of linear approximation, and linear programming as it applies to the filter design problem. Section 3.2 contains a detailed description of the four algorithms and gives some examples of filters designed with two of the techniques. A brief summary and some conclusions are presented in Section 3.3.

Keywords

Frequency Response Discrete Fourier Transform Window Function Filter Design Constraint Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1975

Authors and Affiliations

  • J. G. Fiasconaro

There are no affiliations available

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