Results 111 to 120 of about 8,576 (212)

Filtering Data Time Series Magnetotelurik Menggunakan Empirical Mode Decomposition (EMD) [PDF]

, 2019
Salah satu masalah penting dalam pengolahan data Magnetotelurik (MT) untuk diselesaikan adalah cara untuk melemahkan atau menghilangkan noise pada data. Noise dapat mengganggu informasi primer pada data Magnetotelurik sehingga menyebabkan kesalahan dalam
Setiawan, Nugroho Syarif
core  

Encoder with the Empirical Mode Decomposition (EMD) to remove muscle artefacts from EEG signal

CoRR
This paper introduces a novel method for effectively removing artifacts from EEG signals by combining the Empirical Mode Decomposition (EMD) method with a machine learning architecture. The proposed method addresses the limitations of existing artifact removal techniques by enhancing the EMD method through interpolation of the upper and lower.
openaire   +2 more sources

EMD-Fuzzy: An Empirical Mode Decomposition Based Fuzzy Model for Cross-Stimulus Transfer Learning of SSVEP

CoRR
The Brain-Computer Interface (BCI) enables direct brain-to-device communication, with the Steady-State Visual Evoked Potential (SSVEP) paradigm favored for its stability and high accuracy across various fields. In SSVEP BCI systems, supervised learning models significantly enhance performance over unsupervised models, achieving higher accuracy in less ...
Beining Cao, Xiaowei Jiang, Daniel Leong, Charlie Li-Ting Tsai, Yu-Cheng Chang, Thomas Do, Chin-Teng Lin   +6 more
openaire   +2 more sources

TEXTURE SEGMENTATION USING DIRECTIONAL EMPIRICAL MODE DECOMPOSITION [PDF]

, 2008
In this paper we present the definition and framework of Directional Empirical Mode Decomposition (DEMD) and use DEMD to do texture segmentation. Empirical Mode Decomposition (EMD) decomposes signals by sifting and then analyzes the instantaneous ...
Hongjian Wang, Zhongxuan Liu, Silong Peng   +2 more
core  

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Speaker Identification System Using Empirical Mode Decomposition and An Artificial Neural Network [PDF]

, 2014
[[abstract]]This paper presents a speaker identification system using empirical mode decomposition (EMD) feature extraction method and artificial neural network in speaker identification.
Wu, Jian-Da; Tsai, Yi-Jang
core  

Application of Variational Mode Decomposition in Wind Power Fault Diagnosis

Jixie chuandong, 2015
As to mode mixing problem of empirical mode decomposition（ EMD） and local mean decomposition（ LMD） when they are applied to field data decomposition,a new wind turbine fault diagnosis method based on variational mode decomposition（ VMD） is put forward ...
Wu Yingjie, Zhen Chenggang, Liu Changliang   +2 more
doaj  

Processing and analysis of sounds signals by Huang transform (Empirical Mode Decomposition: EMD)

, 2012
This dissertation explores the potential of EMD as analyzing tool for audio and speech processing. This signal expansion into IMFs is adaptive and without any prior assumptions (stationarity and linearity) on the signal to be analyzed. Salient properties of EMD such as dyadic filter bank structure, quasi-symmetry of IMF and fully description of IMF by ...
openaire   +2 more sources

Three Dimensional Reconstruction Based on Improved Empirical Mode Decomposition

四川大学学报. 自然科学版, 2018
Aiming at the problem of the edge error caused by the traditional empirical mode decomposition method, an improved empirical mode decomposition method is proposed for eliminating the decomposition error in the edge zones of the signals in this paper, in ...
LI Xu-Qin, CHEN Wen-Jing, SU Xian-Yu
doaj