Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3262184
Abstract: In this paper, a nonconvex surrogate function, namely, Laplace norm, is studied to recover the sparse signals. Firstly, we discuss the equivalence of the optimal solutions of $l_{0}$-norm minimization problem, Laplace norm minimization problem and… read more here.
Keywords: thresholding algorithm; hard thresholding; difference hard; minimization problem ... See more keywords
Iterative difference deblurring algorithm for linear computed laminography.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.435460
Abstract: Linear Computed Laminography (LCL) is used to yield slice images of plate-like objects (PLO) for the advantage of short exposure time, high control precision and low cost. Shift and Add (SAA) is a widely used… read more here.
Keywords: iterative difference; computed laminography; difference deblurring; linear computed ... See more keywords