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|
|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.|
|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.