一致性信号恢复的因果重构核

2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Pub Date : 2012-10-18 DOI:10.5281/ZENODO.42893

V. Pohl, Fanny Yang, H. Boche

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引用次数: 2

摘要

本文导出了因果重构核，该核允许仅从过去信号样本中恢复过去信号成分的一致信号。我们的方法是基于经典的希尔伯特空间方法的信号采样和恢复。对于给定的采样函数序列，得到因果重构核作为因果对偶框架。通过一个数值算例说明了所提出的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Causal reconstruction kernels for consistent signal recovery

This paper derives causal reconstruction kernels which allow for a consistent signal recovery of the past signal component from the past signal samples only. Our approach is based on classical Hilbert space methods of signal sampling and recovery. The causal reconstruction kernels are obtained as the causal dual frame for a given sequence of sampling functions. The proposed methodology is illustrated by a numerical example.

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2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)

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