DocumentCode
1654835
Title
A proof of the non-existence of universal nonlinearities for blind signal separation
Author
Mathis, Heinz
Author_Institution
Signal & Inf. Process. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1265
Abstract
The universally applicable nonlinearity for the blind separation of arbitrary source densities is one of the ultimate goals in blind signal processing. This paper provides a proof that such a single, universal nonlinearity for the separation of all non-Gaussian signals cannot exist
Keywords
Gaussian distribution; adaptive signal detection; stability; arbitrary source densities; blind signal processing; blind signal separation; nonGaussian signals; universal nonlinearities; Blind source separation; Information processing; Intersymbol interference; Laboratories; Nonlinear equations; Polynomials; Random variables; Signal processing; Signal processing algorithms; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN
0-7803-7057-0
Type
conf
DOI
10.1109/ICECS.2001.957445
Filename
957445
Link To Document