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Advances in thermographic signal reconstruction
SPIE Proceedings, 2015Since its introduction in 2001, the Thermographic Signal Reconstruction (TSR) method has emerged as one of the most widely used methods for enhancement and analysis of thermographic sequences, with applications extending beyond industrial NDT into biomedical research, art restoration and botany.
Steven M. Shepard +1 more
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Reconstructing Signaling Networks Using Biosensor Barcoding
Understanding how signaling networks are regulated offers valuable insights into how cells and organisms react to internal and external stimuli and is crucial for developing novel strategies to treat diseases. To achieve this, it is necessary to delineate the intricate interactions between the nodes in the network, which can be accomplished by ...Suyang, Wang +5 more
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Sparse signal reconstruction via collaborative neurodynamic optimization
Neural Networks, 2022Jun Wang, Andrzej Cichocki, Hangjun Che
exaly
Signal Reconstruction for Frequency Sparse Sampling Signals
Journal of Convergence Information Technology, 2013Mingjiang Shi - +2 more
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Continuous Time Digital Signal Processing and Signal Reconstruction
2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023Patrick Jungwirth, W. Michael Crowe
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Sparse-Prony FRI signal reconstruction
Signal, Image and Video Processing, 2023P. Sudhakar Reddy +2 more
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Subspace Pursuit for Compressive Sensing Signal Reconstruction
IEEE Transactions on Information Theory, 2009Wei Dai, Olgica Milenkovic
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