Results 1 to 10 of about 223,071 (168)
A Faster and More Accurate Iterative Threshold Algorithm for Signal Reconstruction in Compressed Sensing [PDF]
Sensors, 2022 Fast iterative soft threshold algorithm (FISTA) is one of the algorithms for the reconstruction part of compressed sensing (CS). However, FISTA cannot meet the increasing demands for accuracy and efficiency in the signal reconstruction. Thus, an improved
Jianxiang Wei +5 more
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Iterative Reconstruction of Signals on Graph [PDF]
IEEE Signal Processing Letters, 2020 We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or ...
Emanuele Brugnoli +2 more
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Improvement of NSL0 algorithm based on compressed sensing theory
Dianzi Jishu Yingyong, 2021 Compressed sensing theory provides a new way of signal acquisition.The signal is sparse transformed, and a few observed values are used to reconstruct the signal with high precision.Among them, the signal reconstruction method is the core of compressed ...
Tao Liang, Liu Haipeng, Wang Meng
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Augmenting Signaling Pathway Reconstructions [PDF]
Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2020 Abstract Signaling pathways drive cellular response, and understanding such pathways is fundamental to molecular systems biology. A mounting volume of experimental protein interaction data has motivated the development of algorithms to computationally reconstruct signaling pathways.
Tobias Rubel, Anna Ritz
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Remote Sensing, 2021 Azimuth non-uniform signal-reconstruction is a critical step for azimuth multi-channel high-resolution wide-swath (HRWS) synthetic aperture radar (SAR) data processing.
Ning Li +4 more
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Reconstructing Boolean Models of Signaling [PDF]
Journal of Computational Biology, 2012 Since the first emergence of protein-protein interaction networks more than a decade ago, they have been viewed as static scaffolds of the signaling-regulatory events taking place in cells, and their analysis has been mainly confined to topological aspects.
Roded Sharan, Richard M. Karp
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IET Signal Processing, 2023 Due to its self‐regularising nature and its ability to quantify uncertainty, the Bayesian approach has achieved excellent recovery performance across a wide range of sparse signal recovery applications.
Zonglong Bai +3 more
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Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features
Shock and Vibration, 2022 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 a
Mingchi Ju +5 more
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Pulsed Terahertz Signal Reconstruction [PDF]
Journal of Applied Physics, 2007 A procedure is outlined which can be used to determine the response of an experimental sample to a single, simple broadband frequency pulse in terahertz frequency time domain spectroscopy (TDS). The advantage that accrues from this approach is that oscillations and spurious signals (arising from a variety of sources in the TDS system or from ambient ...
Fletcher, J.R. +4 more
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Signal reconstruction with generalized sampling [PDF]
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017 This paper studies the problem of reconstructing continuous-time signals from discrete-time uniformly sampled data. This signal reconstruction problem has been studied by the authors in various contexts, and led to a new signal processing paradigm. The crux there is to employ a physically realizable signal generator model, and design an (sub)optimal ...
Kaoru Yamamoto +2 more
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