Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Unsupervised Processing Of Geophysical Signals: A Review Of Some Key Aspects Of Blind Deconvolution And Blind Source Separation
Author: Takahata A.K.
Nadalin E.Z.
Ferrari R.
Duarte L.T.
Suyama R.
Lopes R.R.
Romano J.M.T.
Tygel M.
Abstract: 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.
Citation: Ieee Signal Processing Magazine. , v. 29, n. 4, p. 27 - 35, 2012.
Rights: fechado
Identifier DOI: 10.1109/MSP.2012.2189999
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.