Title :
A proof of the non-existence of universal nonlinearities for blind signal separation
Author_Institution :
Signal & Inf. Process. Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN :
0-7803-7057-0
DOI :
10.1109/ICECS.2001.957445
