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Exponential Approximation of Bandlimited Functions from Average Oversampling

2013/11/18 by Haizhang Zhang, Zhang, Haizhang · 1 citation
Computer Science · Earth and Planetary Sciences · Mathematics · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Information Theory (cs.IT) #Mathematical Analysis and Transform Methods #Seismic Imaging and Inversion Techniques

paper · pdf · doi:10.48550/arxiv.1311.4294

openalex publication_date 2013/11/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Weighted average sampling is more practical and numerically more stable than sampling at single points as in the classical Shannon sampling framework. Using the frame theory, one can completely reconstruct a bandlimited function from its suitably-chosen average sample data. When only finitely many sample data are available, truncating the complete reconstruction series with the standard dual frame results in very slow convergence. We present in this note a method of reconstructing a bandlimited function from finite average oversampling with an exponentially-decaying approximation error.

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