Results 81 to 90 of about 5,520,700 (190)

An Improved Blind Spectrum Sensing Technique for Cognitive Radio Systems

International Journal of Information and Communication Technology Research, 2011
Cognitive radio technology has been proposed as a key solution for the problem of inefficient usage of spectrum bands. Spectrum sensing is one of the most important issues in each cognitive radio system.
Navid Tafaghodi Khajavi, Siavash Sadeghi Ivrigh, Seyed Mohammad Sajad Sadough   +2 more
doaj  

Blind source separation of more sources than mixtures using sparse mixture models

, 2005
In this paper, blind source separation is discussed with more sources than mixtures. This blind separation technique assumes a linear mixing model and involves two steps: (1) learning the mixing matrix for the observed data using the sparse mixture model
Shi, ZW, Tang, HW, Tang, YY
core  

Performance Comparison of Combined Blind/Non-Blind Source Separation Algorithms

, 1999
Source separation is becoming increasingly important in acoustical applications for spatial filtering. In the absence of any known source signals (blind case), a blind update equation similar to the natural gradient method [1] is presented, a derivative ...
Marcel Joho, Heinz Mathis
core  

A clustering approach for blind source separation with more sources than mixtures

, 2004
In this paper, blind source separation is discussed with more sources than mixtures when the sources are sparse. The blind separation technique includes two steps. The first step is to estimate a mixing matrix, and the second is to estimate sources.
Yin, FL, Wang, J, Guo, CG, Shi, ZW, Tang, HW, Tang, YY   +5 more
core  

Does dereverberation help multichannel blind source separation? A study case

, 2013
International audienceMultichannel blind source separation performances rapidlydegrade when the mixtures are highly reverberated. In fact,blind source separation algorithms usually focus on the separationtask without dealing with the dereverberation ...
Maazaoui, Mounira, Richard, Gael, Bourmeyster, Ivan, López, Nicolás, Grenier, Yves   +4 more
core  

Blind Source Separation Combining Independent Component Analysis and Beamforming

EURASIP Journal on Advances in Signal Processing, 2003
We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband ICA-based BSS section
Kurita Satoshi, Takeda Kazuya, Itakura Fumitada, Saruwatari Hiroshi, Nishikawa Tsuyoki, Shikano Kiyohiro   +5 more
doaj   +1 more source

LCS: A learnlet-based sparse framework for blind source separation

Astronomy & Astrophysics
Blind source separation (BSS) plays a pivotal role in modern astrophysics by enabling the extraction of scientifically meaningful signals from multi-frequency observations.
Bonjean V., Gkogkou A., Starck J.-L., Tsakalides P.   +3 more
doaj   +1 more source

LOCUS: A REGULARIZED BLIND SOURCE SEPARATION METHOD WITH LOW-RANK STRUCTURE FOR INVESTIGATING BRAIN CONNECTIVITY. [PDF]

Ann Appl Stat, 2023
Wang Y, Guo Y.
europepmc   +1 more source

Subsurface Object Detection Method using Blind Source Separation Algorithm

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Accurate detection of underground anomalies such as voids, sinkholes, and buried cavities is critical for mitigating geohazards and protecting infrastructure.
Jose B. Lazaro, Jr, Jet F. Tipay, Ren Royce G. Toledana, Christian Andrei R. Ubaldo   +3 more
doaj   +1 more source

Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation. [PDF]

Nat Commun, 2023
Zhang W, Tait A, Huang C, Ferreira de Lima T, Bilodeau S, Blow EC, Jha A, Shastri BJ, Prucnal P.   +8 more
europepmc   +1 more source