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%ما هو (من)٪ 1 - تعريف
2D adaptive filters
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.
Two-dimensional filter
![Representation for the filter with the system function <math>H(z_1,z_2)</math>. Adapted from [3].](https://commons.wikimedia.org/wiki/Special:FilePath/Two-dimensional filter diagram.jpg?width=200 "Representation for the filter with the system function <math>H(z_1,z_2)</math>. Adapted from [3].")
TYPE OF FILTERS
2D Filters
Two dimensional filters have seen substantial development effort due to their importance and high applicability across several domains. In the 2-D case the situation is quite different from the 1-D case, because the multi-dimensional polynomials cannot in general be factored.
Adaptative
BEHAVIOUR THAT ENABLES A PERSON TO GET ALONG IN THEIR ENVIRONMENT WITH GREATEST SUCCESS AND LEAST CONFLICT WITH OTHERS
Maladaptive behavior; Adaptative; Adaptive behaviour; Adaptive behaviors; Adaptive functioning; Adaptive Behaviors
·adj Adaptive.
