Results 11 to 20 of about 5,861 (218)
EURASIP Journal on Advances in Signal Processing, 2023 Sampling and reconstruction play a critical role in signal processing. The non-ideal sampling conditions motivate the development of the sampling theory. In this paper, associated with multiple non-ideal conditions, we discuss the nonuniform sampling and
Liyun Xu, Wei Li
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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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Sensors, 2021 Strain measurements using fibre Bragg grating (FBG) optical sensors are becoming ever more commonplace. However, in some cases, these measurements can become corrupted by sudden jumps in the signal, which manifest as spikes or step-like offsets in the ...
Dominik Johannes Marius Fallais +4 more
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Sensors, 2020 Important state parameters, such as torque and angle obtained from the servo control and drive system, can reflect the operating condition of the equipment.
Dongxiao Wang +3 more
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IEEE Access, 2023 Cardiotocography (CTG) is a clinical procedure that is used to track and gauge the severity of fetal distress. Although CTG is the most often used equipment to monitor and assess the health of the fetus, the high rate of false positive results due to ...
Sibel Ozturk +4 more
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On signal reconstruction from FROG measurements [PDF]
Applied and Computational Harmonic Analysis, 2020 Phase retrieval refers to recovering a signal from its Fourier magnitude. This problem arises naturally in many scientific applications, such as ultra-short laser pulse characterization and diffraction imaging. Unfortunately, phase retrieval is ill-posed for almost all one-dimensional signals. In order to characterize a laser pulse and overcome the ill-
Bendory, Tamir +2 more
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Kernel-Based Reconstruction of Graph Signals [PDF]
IEEE Transactions on Signal Processing, 2017 Submitted May ...
Daniel Romero 0004 +2 more
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Remote Sensing, 2023 As an important remote sensing technology, millimeter-wave radar is used for environmental sensing in many fields due to its advantages of all-day, all-weather operation.
Yanbing Li, Bo Feng, Weichuan Zhang
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Signal Reconstruction From Modulo Observations [PDF]
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019 We consider the problem of reconstructing a signal from under-determined modulo observations (or measurements). This observation model is inspired by a (relatively) less well-known imaging mechanism called modulo imaging, which can be used to extend the dynamic range of imaging systems; variations of this model have also been studied under the category
Viraj Shah, Chinmay Hegde
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Sensors, 2018 In the reconstruction of sparse signals in compressed sensing, the reconstruction algorithm is required to reconstruct the sparsest form of signal. In order to minimize the objective function, minimal norm algorithm and greedy pursuit algorithm are most ...
Ziran Wei +5 more
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