Analysis of signal separation and distortion analysis in feedforward blind source separation for convolutive mixture
- 23 December 2004
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper analyzes signal separation and distortion in a feedforward blind source separation (BSS) applied to convolutive mixture environment. In the BSS learning, a separation block is adjusted so as to make the output signals statistically independent. One direction for this adjustment is to extract only one signal source at a single output. The other direction is to make the output signal spectra white. The second direction causes signal distortion and conflicts with the first direction. This confliction prevent signal separation. These relations are also dependent on a length of the impulse responses in the mixture and the filter length in the separation block. These properties are theoretically analyzed and are investigated through simulations using the white signal sources and the speech signal sources.Keywords
This publication has 8 references indexed in Scilit:
- A cascade form blind source separation connecting source separation and linearization for nonlinear mixturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- A learning algorithm for convolutive blind source separation with transmission delay constraintPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A Gauss-Newton method for blind source separation of convolutive mixturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- On the convolutive mixture source separation by the decorrelation approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An adaptive short-time frequency domain algorithm for blind separation of nonstationary convolved mixturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Stability Analysis of Learning Algorithms for Blind Source SeparationNeural Networks, 1997
- Blind source separation for convolutive mixturesSignal Processing, 1995
- Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architectureSignal Processing, 1991