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Sampling Theorems for Multidimensional Waves with Casual Interpolation Functions.

Authors :
Kida, Takuro
Source :
Electronics & Communications in Japan, Part 3: Fundamental Electronic Science. Nov89, Vol. 72 Issue 11, p29-41. 13p.
Publication Year :
1989

Abstract

This paper considers approximation formulas of the n-dimensional wave f(X) expressed by the sum of sampled values of f(X) multiplied by certain n-dimensional waves called interpolation functions. A systematic discussion is made to determine whether or not the approximate function converges to the original wave f(X). In this paper it is assumed that the interpolation functions satisfy the causality in regard to a certain axis in the n-dimensional space Rn. Usually, that axis is considered to be the tine axis. These discussions are important from the theoretical viewpoint, since it is closely related to the problem as to whether or not interpolation functions can be realized as impulse responses of physically realizable time-in- variant linear circuits. The set of sampling points is defined as a set of vertices obtained by sampling periodically all the vertices of the n-dimensional parallel polyhedra periodically arranged in the space Rn. This definition of the set of sampling points Includes most of the important arrangements of the sampling points, such as the hexagon and octagon lattices in the two-dimensional plane. In this paper, it is assumed that the interpolation functions have supports, which are parallel translations of each other. The functional forms of the interpolation functions may be different. The set of f(X) considered in this paper is defined as the set of n-dimensional waves whose Fourier spectra have the weighted power-of-p norm (p > 1) smaller than the specified positive value. It is shown first that, under the condition that the squared-sum of the interpolation functions is bounded, the considered approximate expression does not in general converge to the original wave. It is shown that if the I ore-going condition is relaxed, an approximate expression can be found with the impulse response of a causal time-invariant linear network as the interpolation function, which converges to the original wave. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10420967
Volume :
72
Issue :
11
Database :
Academic Search Index
Journal :
Electronics & Communications in Japan, Part 3: Fundamental Electronic Science
Publication Type :
Academic Journal
Accession number :
13998508
Full Text :
https://doi.org/10.1002/ecjc.4430721104