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首页> 外文期刊>IEEE Transactions on Circuits and Systems. I, Regular Papers >Uniform approximation of multidimensional myopic maps
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Uniform approximation of multidimensional myopic maps

机译:多维近视图的均匀逼近

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摘要

Our main result is a theorem that gives, in a certain setting, a necessary and sufficient condition under which multidimensional shift-invariant input-output maps with vector-valued inputs drawn from a certain large set can be uniformly approximated arbitrarily well using a structure consisting of a linear preprocessing stage followed by a memoryless nonlinear network. Noncausal as well as causal maps are considered. Approximations for noncausal maps for which inputs and outputs are functions of more than one variable are of current interest in connection with, for example, image processing
机译:我们的主要结果是得出一个定理,该定理给出了一个必要的充分条件,在该条件下,具有以下条件的多维平移不变输入输出映射具有从某个大集合中提取的向量值输入,就可以使用线性预处理阶段,然后是无记忆非线性网络。考虑非因果图和因果图。对于非因果图,其输入和输出是一个以上变量的函数的近似值,例如与图像处理有关,目前受到关注

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