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Filtering of Nonuniformly Sampled Bandlimited Functions

Huber, Adrian E G; Liu, Shih-Chii (2019). Filtering of Nonuniformly Sampled Bandlimited Functions. IEEE Signal Processing Letters, 26(7):1036-1040.

Abstract

The filtering of irregularly sampled bandlimited functions is discussed in this letter. An algorithm is given that enables the filtering of bandlimited functions with bandlimited filters to a desired precision, provided some requirements on the sampling density are met. All operations are carried out on the irregular samples themselves. The resulting algorithm is iterative in nature and converges quickly. It is also computationally tractable as it only requires matrix-vector multiplications. The algorithm is noncausal irrespective of the precise characteristics of the filter used, i.e., a buffer is necessary for implementation. The algorithm is evaluated on synthetic examples for which ground truth functions can be derived analytically.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Signal Processing
Physical Sciences > Electrical and Electronic Engineering
Physical Sciences > Applied Mathematics
Language:English
Date:1 July 2019
Deposited On:13 Feb 2020 07:40
Last Modified:22 Jan 2025 02:42
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1070-9908
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/lsp.2019.2918435
Project Information:
  • Funder: H2020
  • Grant ID: 644732
  • Project Title: COCOHA - Cognitive Control of a Hearing Aid

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