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Separation techniques of partial discharges and electrical noise sources: A review of recent progress
(2020-01-01)
Partial discharge (PD) monitoring is one of the most used tools for diagnosing the condition of electrical equipment and machines that operate normally at high voltage levels. Ideally, PD identification can be easily done ...
Perceptually controlled doping for audio source separation
(Springer International Publishing AgChamSuíça, 2014)
Separation of Partial Discharges Sources and Noise Based on the Temporal and Spectral Response of the Signals
(2021-01-01)
The insulation systems of equipment, cables, and electrical machines subjected to high voltage are continuously exposed to multiple aging mechanisms of electrical, mechanical, thermal, and environmental type. Normally, a ...
Using generic order moments for separation of dependent sources with linear conditional expectations
(European Association For Signal Processing, 2013)
In this work, we approach the blind separation of dependent sources based only on a set of their linear mixtures. We prove that, when the sources have a pairwise dependence characterized by the linear conditional expectation ...
Extending Nmf To Blindly Separate Linear-quadratic Mixtures Of Uncorrelated Sources
(IEEENew York, 2016)
Multi-user PDF estimation based criteria for adaptive blind separation of discrete sources
(Elsevier Science BvAmsterdamHolanda, 2005)
Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals
(Hindawi Publishing CorporationNew YorkEUA, 2010)
On the conditions for valid objective functions in blind separation of independent and dependent sources
(Springer, 2012-10)
It is well known that independent sources can be blindly detected and separated, one by one, from linear mixtures by identifying local extrema of certain objective functions (contrasts), like negentropy, Non-Gaussianity ...
Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors
(SpringerNew YorkEUA, 2011)