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All-optical Spectral Shuffling Applied to 16-QAM Signals
(Ieee, 2019-01-01)
All-optical spectral shuffling (AOSS) is a recently proposed physical layer encryption technique. In AOSS, multiple input signals are split in several spectral slices. These slices are then shuffled to form multiple encrypted ...
All-optical Spectral Shuffling Applied to 16-QAM Signals
(2019-10-01)
All-optical spectral shuffling (AOSS) is a recently proposed physical layer encryption technique. In AOSS, multiple input signals are split in several spectral slices. These slices are then shuffled to form multiple encrypted ...
Harmonics filtering and detection of disturbances using wavelets
(1999-12-01)
Traditional mathematical tools, like Fourier Analysis, have proven to be efficient when analyzing steady-state distortions; however, the growing utilization of electronically controlled loads and the generation of a new ...
SLAM and CD31: signaling molecules involved in cytokine secretion during the development of innate and adaptive immune responses
(Elsevier, 2007-02)
Immune cells are modulated through the crosslinking of receptors named “immunoreceptors”. Ligation of immunoreceptors by their ligands induces a tyrosine-phosphorylation signal that is essential for cell activation or ...
Detection of Auditory Cortex Activity by fMRI Using a Dependent Component Analysis
(SPRINGER-VERLAG BERLIN, 2010)
Functional MRI (fMRI) data often have low signal-to-noise-ratio (SNR) and are contaminated by strong interference from other physiological sources. A promising tool for extracting signals, even under low SNR conditions, ...
Tool condition monitoring of single-point dressing operation by digital signal processing of AE and AI
(Elsevier B.V., 2018-01-01)
This work aims at determining the right moment to stop single-point dressing the grinding wheel in order to optimize the grinding process as a whole. Acoustic emission signals and signal processing tools are used as primary ...
Comparative analysis of signal processing techniques for impedance-based SHM applications in noisy environments
(2019-07-01)
Structural health monitoring (SHM) systems have been extensively studied in recent decades to determine the health statuses of mechanical, naval and aerospace engineering components. Currently, one of the most promising ...