Nonuniform sampling and reconstruction of Diracs signal associated with linear canonical transform and its application

被引：0
作者：
Liyun Xu
Wei Li
机构：
[1] Shanxi University,Institute of Big Data Science and Industry
[2] Shanxi University,School of Computer and Information Technology
来源：
EURASIP Journal on Advances in Signal Processing | / 2023卷
关键词：
Linear canonical transform; Signal reconstruction; Nonbandlimited signal; Finite rate of innovation; Denoising;
D O I：
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摘要：
Sampling and reconstruction play a critical role in signal processing. The non-ideal sampling conditions motivate the development of the sampling theory. In this paper, associated with multiple non-ideal conditions, we discuss the nonuniform sampling and reconstruction of nonbandlimited signal in the linear canonical transform (LCT) domain with finite samples. The Diracs signal is nonbandlimited in the LCT domain but has the finite rate of innovation property. The sampling of the Diracs signal in the LCT domain is analyzed firstly. Secondly, the reconstruction of the signal with finite nonuniform samples is discussed, including two cases where the nonuniform sampling instants are known or unknown. Finally, the numerical experiment verifies the effect of the reconstruction algorithm, and the potential applications and generalized analysis indicate the value of the research.
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