Results 181 to 190 of about 2,665,090 (225)

Clock Differences Prediction Algorithm Based on EMD-SVM

Chinese Journal of Electronics, 2018
A new prediction algorithm based on Empirical model decomposition (EMD) and Support vector machine (SVM) is put forward in this paper, and this algorithm solves the problem of the hydrogen atomic clock differences prediction, which is affected by the non-linearity and non-stability.
Jiangmiao Zhu, Panpan Sun, Yuan Gao, Pengfei Zheng   +3 more
exaly   +2 more sources

An Efficient Implementation of EMD Algorithm for Motif Discovery in Time Series Data

International Journal of Data Mining, Modelling and Management, 2016
The extended motif discovery (EMD) algorithm, developed by Tanaka et al. (2005), is a well-known time series motif discovery algorithm which is based on minimum description length principle. One unique feature of the EMD algorithm is that it can determine the suitable length of the motif and hence does not require the length of the motif as a parameter
Duong Tuan Anh, Nguyen Van Nhat
exaly   +3 more sources

Analysis of Brain-Death EEG Data Using 2T-EMD Algorithm

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2015
Electroencephalography (EEG) energy analysisbased on empirical mode decomposition (EMD) and Multivariateempirical mode decomposition (MEMD) methodsfor evaluating consciousness level have been proposed inmany previous studies, and the effectiveness of these analysismethods had been proved by the experiment results.
Toshihisa Tanaka, Jianting Cao, Gaochao Cui   +2 more
exaly   +3 more sources

Types of EMD Algorithms

2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2019
In this paper, we present an algorithm based on the Empirical Mode Decomposition (EMD) method and compare it with two other existing EMD algorithms. EMD is a data-driven method that used as a propelling tool for analyzing and decomposing non-stationary and non-linear data without any previous assumption like choosing mother function in Wavelet.
Hessam Ahmadi, Ali Ekhlasi
openaire   +1 more source

An enhanced EMD algorithm for ECG signal processing

2011 17th International Conference on Digital Signal Processing (DSP), 2011
The Empirical Mode Decomposition (EMD) is becoming increasingly popular for the multi-scale analysis of signals. However, the data-driven and adaptive nature of the EMD raises concerns regarding the uniqueness of the decomposition as well as the extend to which oscillatory modes can be mixed across different IMFs. This paper proposes a solution to this
Foteini Agrafioti, Dimitrios Hatzinakos
openaire   +2 more sources

A 2D bivariate EMD algorithm for image fusion

2011 17th International Conference on Digital Signal Processing (DSP), 2011
Although the benefits of the empirical mode decomposition, in analyzing stochastic signals have been reported, and the algorithm has been established for fusion applications, there is currently no solution to the problem of the simultaneous decomposition of 2D data.
Foteini Agrafioti, Jiexin Gao, Hoda Mohammadzade, Dimitrios Hatzinakos   +3 more
openaire   +2 more sources

EMD based fairing algorithm for mesh surface

2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, 2009
A novel algorithm for mesh surface fairing based on Empirical mode decomposition (EMD) is presented. To expand the EMD method to high-dimensional, spherical surface signal processing based on EMD is implemented. For mesh surface, parameterize the mesh to spherical surface, and build the mapping between original mesh and spherical mesh firstly.
Xujia Qin, Xinhong Chen 0002, Suqiong Zhang, Weihong Wang   +3 more
openaire   +2 more sources

EMD Algorithm for Robust Image Watermarking

Advanced Materials Research, 2014
Watermarking is process of hiding digital information into another object/signal. To attain robustness information based on image data is transformed in multiple resolution using Wavelet based image watermarking methods. Embedding watermark bits in middle frequency sub images in the wavelet domain is done using Multiband Wavelet Transform (MWT).
S. Kannadhasan, R. Suresh
openaire   +1 more source

Comparative Analysis of EMD and VMD Algorithm in Speech Enhancement

International Journal of Natural Computing Research, 2017
Signal enhancement is useful in many areas like social, medicine and engineering. It can be utilized in data mining approach for social and security aspects. Signal decomposition method is an alternative choice due to the elimination of noise and signal enhancement.
Rashmirekha Ram, Mihir Narayan Mohanty
openaire   +1 more source

EMDs-PHD algorithm for OTHR multi-target tracking

2016 IEEE International Conference on Information and Automation (ICIA), 2016
There exist the low data rate, low detection probability, low measurement precision problem and multi-path effects of ionosphere in the Over the Horizon Radar (OTHR) multi-target tracking. The exponential mixture density probability hypothesis density filter (EMDs-PHDF) based on random finite set (RFS) is proposed.
Feng Yang, Hao Chen, Pengyan Zhang, Keli Liu   +3 more
openaire   +2 more sources