Results 21 to 30 of about 525,025 (272)
Tight Frames and Their Symmetries [PDF]
Constructive Approximation, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vale, Richard, Waldron, Shayne
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Analysis
IEEE Access, 2019 Recently, the L1/2 regularization has shown its great potential to eliminate the bias problems caused by the convex L1 regularization in many compressive sensing (CS) tasks.
Lianjun Yuan +5 more
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Fingerprinting With Equiangular Tight Frames [PDF]
IEEE Transactions on Information Theory, 2013 Digital fingerprinting is a framework for marking media files, such as images, music, or movies, with user-specific signatures to deter illegal distribution. Multiple users can collude to produce a forgery that can potentially overcome a fingerprinting system.
Mixon, Dustin G. +3 more
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Continuous Shearlet Tight Frames [PDF]
Journal of Fourier Analysis and Applications, 2010 ISSN:1531 ...
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Fractional-Order Variational Image Fusion and Denoising Based on Data-Driven Tight Frame
Mathematics, 2023 Multi-modal image fusion can provide more image information, which improves the image quality for subsequent image processing tasks. Because the images acquired using photon counting devices always suffer from Poisson noise, this paper proposes a new ...
Ru Zhao, Jingjing Liu
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Tight K-g-Frame and Its Novel Characterizations via Atomic Systems
Advances in Mathematical Physics, 2016 K-g-frame is a generalization of g-frame. We generalize the tight g-frame to K-g-frame via atomic systems. In this paper, the definition of tight K-g-frame is put forward; equivalent characterizations and necessary conditions of tight K-g-frame are given.
Yongdong Huang, Dingli Hua
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Incoherent and Robust Projection Matrix Design Based on Equiangular Tight Frame
IEEE Access, 2021 Designing a projection matrix to optimally select the informative samples from high-dimensional data is a challenging task. Several approaches have been proposed for this task, however conventional methods obtain the projection matrix from the ...
Meenakshi, Seshan Srirangarajan
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, 2011 Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions.
Casazza, Peter G. +3 more
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The Electronic Journal of Linear Algebra, 2002 Summary: A \(d\times n\) matrix, \(n\geq d\), whose columns have equal length and whose rows are orthonormal is constructed. This is equivalent to finding an isometric tight frame of \(n\) vectors in \(\mathbb{R}^d\) (or \(\mathbb{C}^d\)), or writing the \(d\times d\) identity matrix \(I= {d\over n} \sum^n_{i=1} P_i\), where the \(P_i\) are rank 1 ...
Reams, Robert, Waldron, Shayne
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Perturbations of Compressed Data Separation With Redundant Tight Frames
IEEE Access, 2018 In the era of big data, the multi-modal data can be seen everywhere. Research on such data has attracted extensive attention in the past few years. In this paper, we investigate the perturbations of compressed data separation with redundant tight frames ...
Feng Zhang +4 more
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