Results 21 to 30 of about 4,646,650 (165)

Hybridizing sparse component analysis with genetic algorithms for microarray analysis [PDF]

, 2008
Nonnegative matrix factorization (NMF) has proven to be a useful tool for the analysis of nonnegative multivariate data. However, it is known not to lead to unique results when applied to blind source separation (BSS) problems.
Stadlthanner, K., Puntonet, C. G., Stadlthanner, Kurt, Lang, Elmar, Lang, E. W., Puntonet, Carlos G., Górriz, J. M., Tomé, A. M., Theis, Fabian J., Theis, F. J.   +9 more
core   +1 more source

A Novel Source Number Estimator With Improved Degrees of Freedom

IEEE Access, 2017
This paper proposes a new source number estimator with improved degrees of freedom for blind source separation, where the mixing matrix does not have the parameterized structure.
Qiao Su, Yimin Wei, Mingxi Guo, Changliang Deng, Yuehong Shen   +4 more
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

Single-Channel Blind Image Separation Based on Transformer-Guided GAN

Sensors, 2023
Blind source separation (BSS) has been a great challenge in the field of signal processing due to the unknown distribution of the source signal and the mixing matrix.
Yaya Su, Dongli Jia, Yankun Shen, Lin Wang   +3 more
doaj   +1 more source

Audio Source Separation Using Sparse Representations [PDF]

, 2010
This is the author's final version of the article, first published as A. Nesbit, M. G. Jafari, E. Vincent and M. D. Plumbley. Audio Source Separation Using Sparse Representations. In W.
Nesbit, Andrew, Plumbley, MD, Jafari, MG, Vincent, Emmanuel, Nesbit, A, Jafari, Maria, G., Plumbley, Mark, D., Vincent, E   +7 more
core   +1 more source

Sparse representations in audio & music: from coding to source separation [PDF]

, 2010
—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME, Gribonval, R, Daudet, Laurent, Plumbley, MD, Davies, M.E.; id_orcid, Daudet, L., Blumensath, T., Plumbley, Mark D., Gribonval, Rémi, Davies, Mike E., Plumbley, M.D., Blumensath, Thomas, Gribonval, R., Blumensath, T, Daudet, L, Davies, M.E.   +15 more
core   +1 more source

Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals

EURASIP Journal on Audio, Speech, and Music Processing, 2010
Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.
Lin Wang, Heping Ding, Fuliang Yin
doaj   +1 more source

On the performance of a blind source separation based I/Q-corrector [PDF]

, 2002
I and Q Channel phase and gain mismatches are of great concern in communications receiver design. In this paper we carry out a detailed performance analysis of the Blind-Source Seperation (BSS) based imbalance compensation structure.
Morling, R.C.S., Cetin, E., I. Kale, R.C.S. Morling, E. Cetin, Kale, I.   +5 more
core   +1 more source

Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions

EURASIP Journal on Advances in Signal Processing, 2006
Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localized in the time-frequency ...
Zhang Yimin, Amin Moeness G
doaj   +1 more source

A Modified JadeR for Signal Separation under Gaussian Noise

Journal of Kufa for Mathematics and Computer, 2019
A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS).
Muna H. Fatnan, Zahir M. Hussain, Hind R. Mohammed   +2 more
doaj   +1 more source