Advanced Search Results For "COMPRESSED sensing"

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Publication Type: Academic Journal

Source(s): Molecular Imaging. 12/20/2022, p1-9. 9p.

Abstract: Photoacoustic imaging involves reconstructing an estimation of the absorbed energy density distribution from measured ultrasound data. The reconstruction task based on incomplete and noisy experimental data is usually an ill-posed problem that requires...

Publication Type: Academic Journal

Source(s): Mathematical Problems in Engineering. 7/20/2022, p1-12. 12p.

Abstract: Overcomplete dictionaries occupy an essential position in the sparse representation of signals. The dictionary construction method typically represented by K singular value decomposition (KSVD) is widely used because of its concise and efficient featur...

Publication Type: Academic Journal

Source(s): Computers, Materials & Continua. 2022, Vol. 72 Issue 1, p1053-1069. 17p.

Abstract: Wireless sensor networks (WSNs) is one of the renowned ad hoc network technology that has vast varieties of applications such as in computer networks, bio-medical engineering, agriculture, industry and many more. It has been used in the internet-of-thi...

Publication Type: Academic Journal

Source(s): Asia-Pacific Journal of Operational Research. Feb2023, Vol. 40 Issue 1, p1-20. 20p.

Abstract: In this paper, we consider the problem of finding a sparse solution, with a minimal number of nonzero components, for a set of linear inequalities. This optimization problem is combinatorial and arises in various fields such as machine learning and com...

Publication Type: Academic Journal

Source(s): Journal of Industrial & Management Optimization. Jan2023, Vol. 19 Issue 1, p437-455. 19p.

Abstract: Memoryless quasi–Newton updating formulas of BFGS (Broyden–Fletcher–Goldfarb–Shanno) and DFP (Davidon–Fletcher–Powell) are scaled using well-structured diagonal matrices. In the scaling approach, diagonal elements as well as eigenvalues of the scaled m...

Publication Type: Academic Journal

Source(s): Journal of Spectroscopy. 5/31/2022, p1-19. 19p.

Abstract: Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder....

Publication Type: Academic Journal

Source(s): Shock & Vibration. 5/5/2022, p1-11. 11p.

Abstract: This paper proposes a regularized generalized orthogonal matching pursuit algorithm with dynamic compensation characteristics based on the application context of compressive sensing in shock wave signal testing. We add dynamic compensation denoising as...

Publication Type: Academic Journal

Source(s): Carpathian Journal of Mathematics. 2022, Vol. 38 Issue 2, p431-443. 13p.

Abstract: Many real-world phenomena in engineering, economics, statistical inference, compressed sensing and machine learning involve finding sparse solutions to under-determined or ill-conditioned equations. Our interest in this paper is to introduce a derivati...

Publication Type: Academic Journal

Source(s): Future Generation Computer Systems. May2023, Vol. 142, p228-236. 9p.

Abstract: The compressed sensing (CS) has been demonstrated as a promising solution for low-cost signal acquisition in wireless body area network. In this paper, a novel signal reconstruction scheme based on adaptive dictionary and matched filtering in CS domain...

Publication Type: Academic Journal

Source(s): Journal of Healthcare Engineering. 3/23/2022, p1-8. 8p.

Abstract: Pneumothorax is a common injury in disaster rescue, traffic accidents, and war trauma environments and requires early diagnosis and treatment. The commonly used X-ray, CT, and other diagnostic instruments are not suitable for rescue sites due to their ...