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Maximal Gap of a Sampling Set for the Exact Iterative Reconstruction Algorithm in Shift Invariant Spaces

By Wen Chen, Bin Han and Rong-Qing Jia

Abstract

A conventional A/D converter prefilters a signal by an ideal lowpass filter and performs sampling for band-limited signals by the Nyquist sampling rate. Recent research reveals that A/D conversion in a shift invariant space provides more flexible choices for designing a practical A/D conversion system of high accuracy. This paper focuses on the maximal gap of a sampling set for the iterative algorithm in shift invariant spaces, which provides an explicit formula to calculate the maximal gap of a sampling set in terms of a generator of the undertaken shift invariant spaces

Publisher: IEEE
Year: 2004
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.2566
Provided by: CiteSeerX
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