The optimum approximation of a multidimensional filter bank having analysis filters with small nonlinear characteristics

Yuichi Kida; Takuro Kida

doi:10.1117/12.825601

21 August 2009 The optimum approximation of a multidimensional filter bank having analysis filters with small nonlinear characteristics

Yuichi Kida, Takuro Kida

Author Affiliations +

Proceedings Volume 7444, Mathematics for Signal and Information Processing; 744402 (2009) https://doi.org/10.1117/12.825601
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Firstly, we present the optimum interpolation approximation for multi-dimensional vector signals. The presented approximation shows high performance such that it minimizes various worst-case measures of error of approximation simultaneously. Secondly, we consider a set of restricted multi-dimensional vector signals that all elements of the corresponding generalized spectrum vector are separable-variable functions. For this set of restricted multi-dimensional vector signals, we present the optimum interpolation approximation. Moreover, based on this property, putting the variables to be identical with each other in the approximation, we present a certain optimum interpolation approximation for generalized filter bank with generalized non-linear analysis filters. This approximation also shows the high performance similar to the above-mentioned approximations. Finally, as a practical application of the optimum interpolation approximation for multi-dimensional vector signals, we present a discrete numerical solution of linear partial differential equations with many independent variables.

Citation Download Citation

Yuichi Kida and Takuro Kida "The optimum approximation of a multidimensional filter bank having analysis filters with small nonlinear characteristics", Proc. SPIE 7444, Mathematics for Signal and Information Processing, 744402 (21 August 2009); https://doi.org/10.1117/12.825601

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