Results 31 to 40 of about 141,430 (348)

Audio Watermarking Via EMD [PDF]

IEEE Transactions on Audio, Speech, and Language Processing, 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 Intrinsic Mode Functions (IMFs).
Khaldi, Kais, Boudraa, Abdel-Ouahab
openaire   +4 more sources

Audio Information Camouflage Detection for Social Networks

Frontiers in Physics, 2021
Sending camouflaged audio information for fraud in social networks has become a new means of social networks attack. The hidden acoustic events in the audio scene play an important role in the detection of camouflaged audio information.
Jiu Lou, Zhongliang Xu, Decheng Zuo, Zhan Zhang, Lin Ye   +4 more
doaj   +1 more source

3A-EMD: A generalized approach for monovariate and multivariate EMD [PDF]

10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 2010
EMD is an emerging topic in signal processing research and is applied in various practical fields. Its recent extension to multivariate signals, motivated by the need to jointly analyze multi-channel signals, is an active topic of research. However, all the existing extensions specifically hold either mono-, bi- or tri-variate signals or require ...
Fleureau, Julien, Kachenoura, Amar, Nunes, Jean-Claude, Albera, Laurent, Senhadji, Lotfi   +4 more
openaire   +2 more sources

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

, 2017
Accurate load forecasting is an important issue for the reliable and efficient operation of a power system. This study presents a hybrid algorithm that combines similar days (SD) selection, empirical mode decomposition (EMD), and long short-term memory ...
Huiting Zheng, Jiabin Yuan, Long Chen
semanticscholar   +1 more source

Induction of Oligodendrocyte Differentiation and In Vitro Myelination by Inhibition of Rho-Associated Kinase

ASN Neuro, 2014
In inflammatory demyelinating diseases such as multiple sclerosis (MS), myelin degradation results in loss of axonal function and eventual axonal degeneration. Differentiation of resident oligodendrocyte precursor cells (OPCs) leading to remyelination of
Carlos E. Pedraza, Christopher Taylor, Albertina Pereira, Michelle Seng, Chui-Se Tham, Michal Izrael, Michael Webb   +6 more
doaj   +1 more source

Update on the psychometric properties and minimal important difference (MID) thresholds of the FACT-M questionnaire for use in treatment-naïve and previously treated patients with metastatic Merkel cell carcinoma

Health and Quality of Life Outcomes, 2020
Objectives For valid and reliable assessment of patients’ Health-Related Quality of Life (HRQoL), it is crucial to use psychometrically robust instruments.
Murtuza Bharmal, Sandra Nolte, Mickaël Henry-Szatkowski, Meliessa Hennessy, Michael Schlichting   +4 more
doaj   +1 more source

Development of a Univariate Membrane-Based Mid-Infrared Method for Protein Quantitation and Total Lipid Content Analysis of Biological Samples

Journal of Analytical Methods in Chemistry, 2014
Biological samples present a range of complexities from homogeneous purified protein to multicomponent mixtures. Accurate qualification of such samples is paramount to downstream applications.
Ivona Strug, Christopher Utzat, Amedeo Cappione, Sara Gutierrez, Ryan Amara, Joseph Lento, Florian Capito, Romas Skudas, Elena Chernokalskaya, Timothy Nadler   +9 more
doaj   +1 more source

Noise Reduction of Welding Crack AE Signal Based on EMD and Wavelet Packet

Sensors, 2020
The acoustic emission (AE) signal collected by a sensor in the welding process has an overlapping frequency band and weak characteristics under a complex noise background. It is difficult for the wavelet noise reduction method, with single basis function,
Kuanfang He, Zixiong Xia, Yin Si, Qinghua Lu, Yanfeng Peng   +4 more
doaj   +1 more source

Multi-Class Disturbance Events Recognition Based on EMD and XGBoost in φ-OTDR

IEEE Access, 2020
A novel pattern recognition method based on Empirical Mode Decomposition (EMD) and extreme gradient boosting (XGBoost) is proposed to recognize the disturbance events in phase sensitive optical time-domain reflectometer ( $\varphi $ -OTDR) to reduce ...
Zhandong Wang, S. Lou, Sheng Liang, Xinzhi Sheng   +3 more
semanticscholar   +1 more source

Application of empirical mode decomposition method for characterization of random vibration signals

Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2016
Characterization of finite measured signals is a great of importance in dynamical modeling and system identification. This paper addresses an approach for characterization of measured random vibration signals where the approach rests on a method called ...
Setyamartana Parman, Edwar Yazid
doaj   +1 more source