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Aging and Cancer, EarlyView.Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
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Improved multi-layer wavelet transform and blind source separation based ECG artifacts removal algorithm from the sEMG signal: in the case of upper limbs. [PDF]
Front Bioeng BiotechnolLu W, Gong D, Xue X, Gao L.
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Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process. [PDF]
J Am Stat AssocWu B, Guo Y, Kang J.
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, 2011 When processing a sound recording, sound engineers often face the need to apply specific digital audio effects to certain sounds only. For instance, the remastering of a music recording may require to correct the tuning of a mistuned instrument or relocate that instrument in space without affecting the sound of other instruments.
Evangelista, Gianpaolo +3 more
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Geometric Source Separation: Merging Convolutive Source Separation With Geometric Beamforming
IEEE Transactions on Speech and Audio Processing, 2002Convolutive blind source separation and adaptive beamforming have a similar goal-extracting a source of interest (or multiple sources) while reducing undesired interferences. A benefit of source separation is that it overcomes the conventional cross-talk or leakage problem of adaptive beamforming.
Lucas C. Parra, Christopher V. Alvino
exaly +3 more sources
On underdetermined source separation
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999This paper discusses some theoretical results on underdetermined source separation, i.e. when the mixing matrix is degenerate, especially when there is more sources than observations. In this case, we show that the sources can be restored up to an arbitrary additive random vector.
Anisse Taleb, Christian Jutten
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IEEE Transactions on Signal Processing, 2003
A maximum likelihood (ML) approach is used to separate the instantaneous mixtures of temporally correlated, independent sources with neither preliminary transformation nor a priori assumption about the probability distribution of the sources. A Markov model is used to represent the joint probability density of successive samples of each source.
Shahram Hosseini +2 more
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A maximum likelihood (ML) approach is used to separate the instantaneous mixtures of temporally correlated, independent sources with neither preliminary transformation nor a priori assumption about the probability distribution of the sources. A Markov model is used to represent the joint probability density of successive samples of each source.
Shahram Hosseini +2 more
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Noise source separation based on the blind source separation
2011 Chinese Control and Decision Conference (CCDC), 2011The identification of acoustic source accurately is a fundamental problem in noise control. In the practical project, if the contribution of multi-source-noise to the whole was identified, and then the noise level can be reduced accordingly. To get the accurate noise signal, measurements should be possible while the machines are constantly in action ...
Yang Yang +3 more
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On the stability of source separation algorithms
Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378), 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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