Abstract
Separation of monaural linear mixtures of `white' source signals
is fundamentally ill-posed. In some situations it is not possible
to find the mixing coefficients for the full `blind' problem. If
the mixing coefficients are known, the structure of the source
prior distribution determines the source reconstruction error. If
the prior is strongly multi-modal source reconstruction is
possible with low error, while source signals from the typical
`long tailed' distributions used in many ICA settings can not be
reconstructed. We provide a qualitative discussion of the limits
of monaural blind separation of white noise signals and give a set
of `no go' cases.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of ICA'2003 Fourth Int. Symp on Independent Component Analysis and Blind Signal Separation, Nara Japan, April 4, |
| Publication date | 2003 |
| Pages | 815-820 |
| Publication status | Published - 2003 |
| Event | ICA'2003 Fourth Int. Symp on Independent Component Analysis and Blind Signal Separation : April 4 - Nara Japan Duration: 1 Jan 2003 → … |
Conference
| Conference | ICA'2003 Fourth Int. Symp on Independent Component Analysis and Blind Signal Separation : April 4 |
|---|---|
| City | Nara Japan |
| Period | 01/01/2003 → … |