Results 211 to 220 of about 136,308 (262)
A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection. [PDF]
PLoS OneLuo D +5 more
europepmc +1 more source
Sliding sampling and successive variational mode decomposition CNN-BiLSTM-attention based fault detection and early warning method for DC microgrid. [PDF]
Sci RepDai Y, Wang M, Zhang L, Wang S, Jiang Z.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Difference mode decomposition for adaptive signal decomposition
Mechanical Systems and Signal Processing, 2023Tangbin Xia +2 more
exaly +2 more sources
A NOVEL SIGNAL DECOMPOSITION APPROACH — ADAPTIVE FOURIER DECOMPOSITION
Advances in Adaptive Data Analysis, 2011This paper presents a novel signal decomposition approach — adaptive Fourier decomposition (AFD), which decomposes a given signal based on its physical characters. The algorithm is described in detail, that is based on recent theoretical studies on analytic instantaneous frequencies and stands as a realizable variation of the greedy algorithm.
Liming Zhang 0002, Hong Li 0009
openaire +1 more source
Intramuscular EMG Signal Decomposition
Critical Reviews™ in Biomedical Engineering, 2010Information regarding motor unit potentials (MUPs) and motor unit fi ring patterns during muscle contractions is useful for physiological investigation and clinical examinations either for the understanding of motor control or for the diagnosis of neuromuscular disorders.
Hossein, Parsaei +4 more
openaire +2 more sources
Weighted sparse signal decomposition
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012Standard sparse decomposition (with applications in many different areas including compressive sampling) amounts to finding the minimum l0-norm solution of an underdetermined system of linear equations. In this decomposition, all atoms are treated ‘uniformly’ for being included or not in the decomposition.
Massoud Babaie-Zadeh +2 more
openaire +1 more source
Decomposition of multiunit electromyographic signals
IEEE Transactions on Biomedical Engineering, 1999We have developed a comprehensive technique to identify single motor unit (SMU) potentials and to decompose overlapped electromyographic (EMG) signals into their constituent SMU potentials. This technique is based on one-channel EMG recordings and is easily implemented for many clinical EMG tests. There are several distinct features of our technique: 1)
Jianjun Fang +2 more
openaire +2 more sources
Decomposition of Surface EMG Signals
Journal of Neurophysiology, 2006This report describes an early version of a technique for decomposing surface electromyographic (sEMG) signals into the constituent motor unit (MU) action potential trains. A surface sensor array is used to collect four channels of differentially amplified EMG signals. The decomposition is achieved by a set of algorithms that uses a specially developed
Carlo J, De Luca +4 more
openaire +2 more sources
Morphological signal decomposition
International Conference on Acoustics, Speech, and Signal Processing, 2002A method of signal analysis is presented. It is based on mathematical morphology of gray scale functions. The proposed representations are translation invariant and use simple functions as the components of the representation. The analysis is unique and the signal can be reconstructed from its components.
openaire +1 more source
Heart Rate Signal Decomposition
Methods of Information in Medicine, 2000Abstract:This paper proposes a method for decomposing heart rate fluctuations into background, respiratory and blood pressure oriented fluctuations. A signal cancellation scheme using the adaptive RLS algorithm has been introduced for canceling respiration and blood pressure oriented changes in the heart rate fluctuations.
H, Mizuta, K, Yana
openaire +2 more sources