Results 91 to 100 of about 5,521,232 (198)

Joint nonstationary blind source separation and spectral analysis

, 2018
International audienceWe address a nonstationary blind source separation (BSS) problem. The model includes both nonstationary sources and mixing. Therefore, we introduce an algorithm for joint BSS and estimation of stationarity-breaking deformations and ...
Meynard, Adrien
core  

Equivalence between Frequency Domain Blind Source Separation and Adaptive Beamforming [PDF]

Frequency domain Blind Source Separation (BSS) is shown to be equivalent to two sets of Adaptive Beamformers (ABFs). The minimization of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in ...
Araki, Shoko, Saruwatari, Hiroshi, Hinamoto, Yoichi, Mukai, Ryo, Makino, Shoji, Nishikawa, Tsuyoki   +5 more
core   +1 more source

Blind Source Separation (BSS) of Convolutive Mixtures of Sources

, 2005
Dans cette thèse, la Séparation Aveugle de Mélanges Convolutifs de Sources est étudiée. Pour la séparation des mélanges audio, nous avons développé des méthodes nouvelles pour les cas avec bruit et sans bruit dans l'environnement de propagation. La méthode sans bruit est basée sur la diagonalisation conjointe des matrices spectrales et exploite la non ...
openaire   +1 more source

Blind Source Separation for ALOHA Massive Machine Type Communications

This paper studies the use of Blind Source Separation (BSS) as a replacement for Coded Random Access in diversity ALOHA massive machine-type communications.
Alberto Carini, Michele Godeas, Fulvio Babich   +2 more
core   +1 more source

Poster Session 3

Pregnancy, Volume 2, Issue S2, September 2026.
wiley   +1 more source

Blind Source Separation Algorithms with Matrix Constraints

, 2003
Analysis (ICA) and Blind Source Separation (BSS) estimated sources signals and the mixing or separating matrices have some special structure or some constraints are imposed for the matrices such as symmetries, orthogonality, non-negativity, sparseness ...
Pando Georgiev, Andrzej Cichocki
core  

Blind Source Separation of Speech Signals: Exploiting Second Order Statistics [PDF]

, 2018
Blind source separation is a popular technique which is used in the fields of signal processing,audio, video and image processing. BSS is used to separate the mixed signals with only knowing the mixed signals and knowing very little about original signal
Madanagopal, Vishaal
core   +1 more source

Blind source separation algorithms for mitigating co-channel interference and noise in wireless communication systems

, 2009
Blind Source Separation (BSS) algorithms have been applied with considerable success in a variety of fields. In case of communication signals, these BSS algorithms can be applied for blind beamforming and channel estimation.
Ajay Kumaraswamy Kattepur, Kumaraswamy Kattepur Ajay   +1 more
core   +1 more source

Elementary Cost Functions For Blind Separation Of Non-Stationary

, 2008
Blind source separation (BSS) is a problem found in many applications related to acoustics or communications. This paper addresses the blind source separation problem for the case where the source signals are non-stationary and the sensors are noisy.
Marcel Joho, Russell H. Lambert, Heinz Mathis, Source Signals Marcel   +3 more
core  

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