Results 71 to 80 of about 5,521,232 (198)

Zero-entropy minimization for blind extraction of bounded sources (BEBS)

, 2006
Renyi's entropy can be used as a cost function for blind source separation (BSS). Previous works have emphasized the advantage of setting Renyi's exponent to a value different from one in the context of BSS.
Vrins, Frédéric, Jutten, Christian, Erdogmus, D, Verleysen, Michel, 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006)   +4 more
core   +1 more source

Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

EURASIP Journal on Advances in Signal Processing, 2006
A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combined ...
Hiekata Takashi, Ikeda Youhei, Hashimoto Hiroshi, Morita Takashi, Mori Yoshimitsu, Saruwatari Hiroshi, Takatani Tomoya, Ukai Satoshi, Shikano Kiyohiro   +8 more
doaj   +1 more source

Diagnosis of Roller Bearings Compound Fault Using Underdetermined Blind Source Separation Algorithm Based on Null-Space Pursuit

Shock and Vibration, 2015
In order to solve the problem of underdetermined blind source separation (BSS) in the diagnosis of compound fault of roller bearings, an underdetermined BSS algorithm based on null-space pursuit (NSP) was proposed.
Lingli Cui, Chunguang Wu, Chunqing Ma, Huaqing Wang   +3 more
doaj   +1 more source

Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography

Entropy, 2017
Blind Source Separation (BSS) is an active domain of Classical Information Processing, with well-identified methods and applications. The development of Quantum Information Processing has made possible the appearance of Blind Quantum Source Separation ...
Alain Deville, Yannick Deville
doaj   +1 more source

TWIN FETUS ECG SIGNAL EXTRACTION BASED ON TEMPORAL PREDICTABILITY

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2020
The most popular defects that infect new born babies have close connection with heart. Approximately 1% percent of new born babies suffering from defects that are caused by heart.
Mushtaq Talib, Ali A. Abdullah, Ahmed K. Abdullah, Bahaa Hamzah   +3 more
doaj   +1 more source

Identification of Modal Parameters Using an Improved Sparse Blind Source Separation Method

IEEE Access
During the past decade, blind source separation (BSS) method has become an effective tool to characterize and identify modal parameters of linear systems.
Gang Yu, Aoran Wang
doaj   +1 more source

Comparative Study of Blind Source Separation (BSS) Techniques for ASD Classification in EEG Signals

This work compares preprocessing, feature extraction, and classification techniques applied to EEG signals from individuals with ASD and control subjects. The FastICA and SOBI algorithms, different windowing strategies, mRMR-based feature selection, and SVM-based classification were evaluated. The results indicated more evident differences in the delta,
Jéssica Franzon Cruz, Caroline Pires Alavez Moraes, Aline Neves   +2 more
openaire   +3 more sources

An Underdetermined Blind Source Separation Method with Application to Modal Identification

Shock and Vibration, 2019
In structural dynamic analysis, the blind source separation (BSS) technique has been accepted as one of the most effective ways for modal identification, in which how to extract the modal parameters using very limited sensors is a highly challenging task
Gang Yu
doaj   +1 more source

Blind source separation with optimal transport non-negative matrix factorization

EURASIP Journal on Advances in Signal Processing, 2018
Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention. Building upon recent advances in computational optimal transport, we develop an optimal transport non-negative matrix factorization (NMF ...
Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada   +3 more
doaj   +1 more source

A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation

Shock and Vibration, 2013
In this paper, a novel damage detection algorithm is developed based on blind source separation in conjunction with time-series analysis. Blind source separation (BSS), is a powerful signal processing tool that is used to identify the modal responses and
A. Sadhu, B. Hazra
doaj   +1 more source