Results 81 to 90 of about 4,646,650 (165)

Air pollution prediction using blind source separation with Greylag Goose Optimization algorithm

Frontiers in Environmental Science
Particularly, environmental pollution, such as air pollution, is still a significant issue of concern all over the world and thus requires the identification of good models for prediction to enable management.
Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-Kenawy, El-Sayed M. El-Kenawy   +7 more
doaj   +1 more source

Blind source separation based vibration mode identification

, 2007
In this paper, a novel method for linear normal mode identification based on Blind Source Separation (BSS) is introduced. Modal coordinates are considered as a specific case of sources that have certain time structure. This structure can be identified by
Zhou, Wenliang, Chelidze, David
core   +2 more sources

Separación ciega de fuentes no-determinada aplicada a mezclas de voz con base en la transformada wavelet discreta Undetermined blind source separation of speech mixtures based on discrete wavelet transform

Ingeniare: Revista Chilena de Ingeniería, 2012
La separación ciega de fuentes, conocida como BSS por sus siglas en inglés (Blind Source Separation), es una técnica de procesamiento de señales que consiste en estimar fuentes en señales mezcladas linealmente, utilizando métodos como el ICA, para ...
Camilo Andrés Lemus, Dora María Ballesteros   +1 more
doaj  

Blind Source Separation: the Sparsity Revolution [PDF]

, 2008
International audienceOver the last few years, the development of multi-channel sensors motivated interest in methods for the coherent processing of multivariate data.
Starck, Jean-Luc, Fadili, Jalal M., Bobin, J., Moudden, Y.   +3 more
core   +1 more source

Publication Only

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

Separability of Analytic Postnonlinear Blind

, 2004
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independent, independent component analysis (ICA) can be applied to perform BSS.
P. Gruber, Source Separation With, F. J. Theis   +2 more
core  

Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition

Computation
Blind Source Separation (BSS) is a significant field of study in signal processing, with many applications in various fields such as audio processing, speech recognition, biomedical signal analysis, image processing and communication systems. Traditional
Gyurhan Nedzhibov
doaj   +1 more source

Heuristics in blind source separation

, 2018
This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture.
Kautský, Václav
core  

Energy predictability to blind source separation [PDF]

, 2006
A blind source separation (BSS) method based on the energy (square) predictability of original sources is proposed. The method exploits the nonstationatity of sources in the sense that the variance of each source signal can be assumed to change smoothly ...
Zhang, C., 施展, Shi, Z.
core  

Blind source separation and beamforming: Algebraic technique analysis

, 2004
Blind source separation (BSS) and blind beamforming schemes attempt to separate additive source signals, collected at a sensor array, and their direction-of-arrival (DOA).
Coviello, CM, Sibul, LH, Coviello, Christian   +2 more
core   +1 more source