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A system for compressive sensing signal reconstruction [PDF]
IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017 An architecture for hardware realization of a system for sparse signal reconstruction is presented. The threshold based reconstruction method is considered, which is further modified in this paper to reduce the system complexity in order to provide easier hardware realization.
Irena Orovic +3 more
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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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Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The article proposes a methodology to perform azimuth focusing of spaceborne transmitter-stationary receiver bistatic synthetic aperture radar data across multiple along-track apertures to increase azimuth resolution.
Filip Rosu +4 more
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A Novel Approach for Cancelation of Nonaligned Inter Spreading Factor Interference in LoRa Systems
IEEE Open Journal of the Communications Society, 2022 Long Range (LoRa) has become a key enabler technology for low power wide area networks. However, due to its ALOHA-based medium access scheme, LoRa has to cope with collisions that limit the capacity and network scalability.
Qiaohan Zhang +5 more
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Leida xuebao, 2015 The signal reconstruction algorithm with sub-Nyquist bandpass sampling in Pulse Position Modulation-Ultra Wide Band (PPM-UWB) signal processing is analyzed based on PPM-UWB signal demodulation.
Zou Ning +3 more
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A Sensor Fault-Tolerant Accident Diagnosis System
Sensors, 2020 Emergency situations in nuclear power plants are accompanied by an automatic reactor shutdown, which gives a big task burden to the plant operators under highly stressful conditions. Diagnosis of the occurred accident is an essential sequence for optimum
Jeonghun Choi, Seung Jun Lee
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IEEE Access, 2020 In this paper, we propose a derivative free algorithm for solving non-linear monotone equations with convex constraints. The proposed algorithm combines the method of spectral gradient and the projection method.
Li Zheng, Lei Yang, Yong Liang
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Energies, 2022 This paper presents a novel method for condition monitoring using the RMS residual of vibration signal reconstruction based on trained dictionaries through sparse representation theory.
Xiao Yang +4 more
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Guided Signal Reconstruction Theory
CoRR, 2017 An axiomatic approach to signal reconstruction is formulated, involving a sample consistent set and a guiding set, describing desired reconstructions. New frame-less reconstruction methods are proposed, based on a novel concept of a reconstruction set, defined as a shortest pathway between the sample consistent set and the guiding set.
Andrew Knyazev +3 more
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Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals
Journal of Applied Mathematics, 2013 Compressive sensing (CS) reconstruction of a spectrum-sparse signal from undersampled data is, in fact, an ill-posed problem. In this paper, we mathematically prove that, in certain cases, the exact CS reconstruction of a spectrum-sparse signal from ...
Ying Luo +3 more
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