Results 171 to 180 of about 2,665,090 (225)

Fusing EEG Features Extracted by Microstate Analysis and Empirical Mode Decomposition for Diagnosis of Schizophrenia. [PDF]

Sensors (Basel)
Song S, Du L, Yin J, Ling S.
europepmc   +1 more source

An Enhanced Hybrid SVD-DBO-VMD Framework for Rolling Bearing Fault Feature Extraction Using Vibration Data. [PDF]

Sensors (Basel)
Zhang C, Xu L, He X, Zhao Z, Zhao X.
europepmc   +1 more source

Frequency-aware signal image representation and graph transformer learning for bearing fault diagnosis. [PDF]

Front Artif Intell
Mitta S, Nedunchezhian P.
europepmc   +1 more source

EEG channel selection using metaheuristic algorithms in alcoholism detection using optimal wavelet transform. [PDF]

Sci Rep
Puri DV, Kachare P, Sangle S, Solanki S, Panwar D.   +4 more
europepmc   +1 more source

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A Fast Algorithm for Bidimensional EMD

IEEE Signal Processing Letters, 2005
In this letter, we describe a new method for bidimensional empirical mode decomposition (EMD). This decomposition is based on Delaunay triangulation and on piecewise cubic polynomial interpolation. Particular attention is devoted to boundary conditions that are crucial for the feasibility of the bidimensional EMD.
Sylvain Meignen
exaly   +3 more sources

Despeckling Algorithm of SAR Image Based on EMD and PCA

Advanced Materials Research, 2011
This paper proposes a new despeckling algorithm of SAR image based on EMD and PCA. Firstly, it approximately evaluates the noise energy in all levels of IMF according to the energy distribution model of Gaussian white noise decomposed by EMD. And then it uses PCA to decompose IMF.
Wen Bo Wang, Mei Ge Wang
openaire   +2 more sources

An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-Noising

2009 International Joint Conference on Computational Sciences and Optimization, 2009
In this paper we present an improved algorithm based on EMD-Wavelet for ECG(electrocardiogram) signal de-noising. This method has the advantages of both EMD (Empirical Mode Decomposition) and wavelet adaptive thresholding algorithm for the actual gathering ECG signal de-noising.
Nianqiang Li, Ping Li
exaly   +3 more sources

Boundary Effects for EMD-Based Algorithms

IEEE Signal Processing Letters, 2022
Yung-Hung Wang, Shao-Ho Cheng
exaly   +2 more sources