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.
|Title of host publication||Proceedings of ICA'2003 Fourth Int. Symp on Independent Component Analysis and Blind Signal Separation, Nara Japan, April 4,|
|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||ICA'2003 Fourth Int. Symp on Independent Component Analysis and Blind Signal Separation : April 4|
|Period||01/01/2003 → …|