2020
DOI: 10.1002/mma.6405
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Approximately dual frames of nonstationary Gabor frames for l2(Z) and reconstruction errors

Abstract: Nonstationary Gabor (NSG) frames for L 2 (R) allow for flexible sampling and varying window functions and have found applications in adaptive signal analysis. Since any numerical implementation of NSG frames is based on a discrete model, the first author of this paper introduced discrete-time NSG frames and investigated the existence and construction of NSG frames for l 2 (Z) recently. In this paper, we consider the reconstruction of any functions in l 2 (Z) from coefficients obtained from NSG frames. Since pe… Show more

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Cited by 2 publications
(2 citation statements)
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“…So far, the frame theory is widely used in signal and image processing, biomedicine, applied mathematics, physical science, earth science, DCNNs, and many other felds. More details can be found in [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] and references therein. Now the research on frame theory mainly focuses on regular wavelet frame (RWF) and regular Gabor frame (RGF) in L 2 (R) and Sobolev space H s (R).…”
Section: Introductionmentioning
confidence: 99%
“…So far, the frame theory is widely used in signal and image processing, biomedicine, applied mathematics, physical science, earth science, DCNNs, and many other felds. More details can be found in [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] and references therein. Now the research on frame theory mainly focuses on regular wavelet frame (RWF) and regular Gabor frame (RGF) in L 2 (R) and Sobolev space H s (R).…”
Section: Introductionmentioning
confidence: 99%
“…This leads to the notion of approximately dual frames by Christensen and Laugensen [10] which is motivated from the work of Li and Yan [18]. Following the paper [10], there is a plenty of activity on the notion of approximately dual frames and its applications to wavelet frames, Gabor systems, shift-invarinat systems, localized frames, cross Gram matrices [3,4,8,9,[11][12][13]19] etc. This notion is also useful in the study of famous Mexican hat problem [5,6].…”
Section: Introductionmentioning
confidence: 99%