Results 51 to 60 of about 8,950,043 (334)
Research on a bearing early fault features extraction method
Gong-kuang zidonghua, 2020 In view of problems that early fault signals of rolling bearings are submerged by background noise and fault characteristics are not obvious, a bearing early fault feature extraction method based on wavelet packet decomposition and CEEMD was proposed ...
ZHANG Meng, MIAO Changyun, MENG Deju
doaj +1 more source
Self-Similar Decomposition of Digital Signals [PDF]
Cybernetics and Information Technologies, 2019 Abstract Traditionally, the engineers analyze signals in the time domain and in the frequency domain. These signal representations discover different signal characteristics and in many cases, the exploration of a single signal presentation is not sufficient.
Kiril Alexiev +2 more
openaire +3 more sources
Bearing Fault Diagnosis Method Based on Improved Singular Value Decomposition Package
Sensors, 2023 The singular value decomposition package (SVDP) is often used for signal decomposition and feature extraction. At present, the general SVDP has insufficient feature extraction ability due to the two-row structure of the Hankel matrix, which leads to mode
Huibin Zhu +4 more
doaj +1 more source
Representation of signals by local symmetry decomposition [PDF]
2015 23rd European Signal Processing Conference (EUSIPCO), 2015 In this paper we propose a segmentation of finite support sequences based on the even/odd decomposition of a signal. The objective is to ind a more compact representation of information. To this aim, the paper starts to generalize the even/odd decomposition by concentrating the energy on either the even or the odd part by optimally placing the centre ...
GNUTTI, ALESSANDRO +2 more
openaire +2 more sources
, 2023 ECG signal processing is an important basis for the prevention and diagnosis of cardiovascular diseases; however, the signal is susceptible to noise interference mixed with equipment, environmental influences, and transmission processes.
Zhiyuan Li +3 more
core +1 more source
Energies, 2021 Short-Term Load Prediction (STLP) is an important part of energy planning. STLP is based on the analysis of historical data such as outdoor temperature, heat load, heat consumer configuration, and the seasons.
Szabolcs Kováč +3 more
doaj +1 more source
NeuroImage, 2020 The ability to cope with distracting information is a major requirement for goal-directed behavior. It is particularly challenged when distracting information is either potentially relevant or temporally close to goal-direct responses, resulting in so ...
Antje Opitz, C. Beste, A. Stock
semanticscholar +1 more source
Advances in Mechanical Engineering, 2020 Adaptive sparsest narrow-band decomposition is the most sparse solution to search for signals in the over-complete dictionary library containing intrinsic mode functions, which transform the signal decomposition into an optimization problem, but the ...
Yanfeng Peng +7 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
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 This article characterized the linear trends and interannual signals of terrestrial water storage (TWS) and meteorological variables including precipitation (P) and evapotranspiration (ET) over the arid Northwestern China (NWC). The relative impaction of
Jianguo Yin +3 more
doaj +1 more source