Artículos de revistas
Unsupervised Processing Of Geophysical Signals: A Review Of Some Key Aspects Of Blind Deconvolution And Blind Source Separation
Registro en:
Ieee Signal Processing Magazine. , v. 29, n. 4, p. 27 - 35, 2012.
10535888
10.1109/MSP.2012.2189999
2-s2.0-84862571163
Autor
Takahata A.K.
Nadalin E.Z.
Ferrari R.
Duarte L.T.
Suyama R.
Lopes R.R.
Romano J.M.T.
Tygel M.
Institución
Resumen
Unsupervised signal processing has been an exciting theme of research for at least three decades. It finds the potential application in practically all fields where well-established techniques of digital signal processing have been employed, including telecommunications; speech and audio processing; image, radar, and sonar; and biomedical signals. Among these classical problems, geophysical signal processing has played a prominent role in the development of unsupervised methods. In fact, the field of unsupervised processing can be said to have started with the early application of Wiener's theories to seismology. © 2012 IEEE. 29 4 27 35 Kaplan, S.T., Ulrych, T.J., Blind deconvolution and ICA with a banded mixing matrix (2003) Proc. 4th Int. Symp. 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