Results 31 to 40 of about 18,123 (142)
On the behavior of EMD and MEMD in presence of symmetric alpha-stable noise [PDF]
, 2014 EmpiricalMode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred to as Intrinsic Mode ...
NOLAN, John +4 more
core +1 more source
Pulse Signal Analysis Method Based on Improved HHT [PDF]
Jisuanji gongcheng, 2019 The traditional Hilbert-Huang Transform(HHT) has low accuracy in Empirical Mode Decomposition(EMD) when processing pulse signals,and there are mode mixing problems.In response to this problem,this paper proposes an improved HHT method.Combined with Time ...
KUANG Xue, LI Zhi, WANG Yongjun, ZHANG Shaorong
doaj +1 more source
Energies, 2020 It is difficult to decompose the in-cylinder pressure of combustion of the direct injection (DI) diesel engine, a transient process associated with complicated oscillation components, because of its steep property. An adaptive cyclic average method based
Xu Zheng +5 more
doaj +1 more source
Enhanced monopulse radar tracking using empirical mode decomposition [PDF]
, 2010 Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
core +3 more sources
Applied Sciences, 2020 Short-term traffic flow prediction is important to realize real-time traffic instruction. However, due to the existing strong nonlinearity and non-stationarity in short-term traffic volume data, it is hard to obtain a satisfactory result through the ...
Yanpeng Wang +4 more
doaj +1 more source
Specific Emitter Identification Based on Software-Defined Radio and Decision Fusion
IEEE Access, 2021 Specific emitter identification (SEI) uses the unintentional modulation information carried by the emitter waveform, i.e., radio frequency fingerprints, to realize the matching identification of the received signal and its corresponding emitter.
Kaiwen Tan +4 more
doaj +1 more source
, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
core +1 more source
A Parameter‐Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox
Shock and Vibration, Volume 2020, Issue 1, 2020., 2020 Aiming at the problems of poor self‐adaptive ability in traditional feature extraction methods and weak generalization ability in single classifier under big data, an internal parameter‐optimized Deep Belief Network (DBN) method based on grasshopper optimization algorithm (GOA) is proposed.
Jingbo Gai +4 more
wiley +1 more source
EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs [PDF]
, 2014 This paper introduces a new signal-filtering which combines the empirical mode decomposition (EMD) and a similarity measure. A noisy signal is adaptively broken down into oscillatory components called intrinsic mode functions (IMFs) by EMD followed by an
DARE, Delphine +4 more
core +1 more source
The Time Validation Facility (TVF): an all-new key element of the Galileo operational phase [PDF]
, 2015 International audienceIn the Galileo FOC phase (Full Operational Capability), GMV is the prime contractor for the Time and Geodetic Validation Facility (TGVF), a contract of the European Space Agency (ESA).
Galindo, J. +14 more
core +5 more sources