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== Filtering ==
{{main|Filter (signal processing)}}
[[File:2-D filter frequency response and 1-D filter prototype frequency response.gif|thumb|500px|right|A 2-D filter (left) defined by its 1-D prototype function (right) and a
Filtering is an important part of any signal processing application. Similar to typical single dimension signal processing applications, there are varying degrees of complexity within filter design for a given system. M-D systems utilize [[digital filters]] in many different applications. The actual implementation of these m-D filters can pose a design problem depending on whether the multidimensional polynomial is factorable<ref name="dudmer83_2"/>. Typically, a [[prototype]] filter is designed in a single dimension and that filter is [[extrapolate|extrapolated]] to m-D using a [[map (mathematics)|mapping function]]<ref name="dudmer83_2"/>. One of the original mapping functions from 1-D to 2-D was the McClellan Transform <ref name="mer78">Mersereau, R.M.; Mecklenbrauker, W.; Quatieri, T., Jr., "McClellan transformations for two-dimensional digital filtering-Part I: Design," Circuits and Systems, IEEE Transactions on , vol.23, no.7, pp.405,414, Jul 1976.</ref>. Both [[FIR]] and [[IIR]] filters can be utilized in this manner, depending on the application.
== Applicable Fields ==
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