Name
Title | ||
|---|---|---|
BLIND SEPARATION OF TIME-VARYING SIGNAL MIXTURES USING SPARSENESS AND ZADEH'S TRANSFORM |
Abstract | ||
|---|---|---|
We consider the general problem of blindly separating time- varying mixtures. Physical phenomena, such as varying at- tenuation and the doppler effect, can be represented as spe- cial cases of a time-varying mixing model. This model can be considered as a linear mixing of time-varying attenuated- and-delayed versions of fixed channel distortions. In this spe- cial case, we use Zadeh's transform to project the signals to the time-frequency domain. In this domain, sparse source distribution highlights geometric properties of the mixing co- efficients. These coefficients can be used in turn, for invert- ing the mixing system, and thereby, recover the time-varying filtered versions of the original sources. |
Year | Venue | Field |
|---|---|---|
2006 | EUSIPCO | Algorithm,Communication channel,Speech recognition,Attenuation,Doppler effect,S transform,Blind signal separation,Physical phenomena,Mathematics,Special case |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ran Kaftory | 1 | 27 | 2.99 |
| Yehoshua Y. Zeevi | 2 | 610 | 248.69 |