Eigenvalue-free iterative shrinkage-thresholding algorithm for solving the linear inverse problems
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DOI: 10.1088/1361-6420/abf9e8
Abstract: The iterative shrinkage threshold algorithm (ISTA) is widely used in solving linear inverse problems due to its simplicity. However, it depends on the calculation of eigenvalues during the iterative process, which will cost a lot… read more here.
Keywords: linear inverse; iterative shrinkage; inverse problems; solving linear ... See more keywords
Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm
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DOI: 10.1109/access.2022.3228201
Abstract: The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect… read more here.
Keywords: analytic learned; shrinkage threshold; threshold algorithm; learned iterative ... See more keywords
Learned iterative shrinkage and thresholding algorithm for terahertz sparse deconvolution.
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DOI: 10.1364/oe.456688
Abstract: Terahertz sparse deconvolution based on an iterative shrinkage and thresholding algorithm (ISTA) has been used to characterize multilayered structures with resolution equivalent to or finer than the sampling period of the measurement. However, this method… read more here.
Keywords: shrinkage thresholding; thresholding algorithm; deconvolution; iterative shrinkage ... See more keywords