About: 2D adaptive filters

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A two-dimensional (2D) adaptive filter is very much like a one-dimensional adaptive filter in that it is a linear system whose parameters are adaptively updated throughout the process, according to some optimization approach. The main difference between 1D and 2D adaptive filters is that the former usually take as inputs signals with respect to time, what implies in causality constraints, while the latter handles signals with 2 dimensions, like x-y coordinates in the space domain, which are usually non-causal. Moreover, just like 1D filters, most 2D adaptive filters are digital filters, because of the complex and iterative nature of the algorithms.

Attributes	Values
rdfs:label	2D adaptive filters (en)
rdfs:comment	A two-dimensional (2D) adaptive filter is very much like a one-dimensional adaptive filter in that it is a linear system whose parameters are adaptively updated throughout the process, according to some optimization approach. The main difference between 1D and 2D adaptive filters is that the former usually take as inputs signals with respect to time, what implies in causality constraints, while the latter handles signals with 2 dimensions, like x-y coordinates in the space domain, which are usually non-causal. Moreover, just like 1D filters, most 2D adaptive filters are digital filters, because of the complex and iterative nature of the algorithms. (en)
dbp:wikiPageUsesTemplate	dbt:Reflist
Subject	Digital signal processing
thumbnail	wiki-commons:Special:FilePath/Block_diagram_of_2d_adaptive_filters.jpg?width=300
foaf:depiction
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/2D_adaptive_filters?oldid=993912175&ns=0
Wikipage page ID	44358953 (xsd:integer)
page length (characters) of wiki page	11374 (xsd:nonNegativeInteger)
Wikipage revision ID	993912175 (xsd:integer)
Link from a Wikipage to another Wikipage	Active noise control Adaptive filter Digital signal processing Causal system Digital filter Linear prediction Linear time-invariant system Convolution Echo suppression and cancellation Equalization payments Impulse response Infinite impulse response Least mean squares filter Lexicographic order Recursive least squares filter Signal processing
has abstract	A two-dimensional (2D) adaptive filter is very much like a one-dimensional adaptive filter in that it is a linear system whose parameters are adaptively updated throughout the process, according to some optimization approach. The main difference between 1D and 2D adaptive filters is that the former usually take as inputs signals with respect to time, what implies in causality constraints, while the latter handles signals with 2 dimensions, like x-y coordinates in the space domain, which are usually non-causal. Moreover, just like 1D filters, most 2D adaptive filters are digital filters, because of the complex and iterative nature of the algorithms. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/2D_adaptive_filters
is Wikipage redirect of	2D Adaptive Filters
is Link from a Wikipage to another Wikipage of	2D Adaptive Filters Adaptive filter
is foaf:primaryTopic of	http://en.wikipedia.org/wiki/2D_adaptive_filters

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