Name
Abstract | ||
|---|---|---|
In this paper, we consider the problem of selective transmission-the dual of the blind source separation task-in which a set of independent source signals are adaptively premixed prior to a non-dispersive physical mixing process so that each source can be independently monitored in the far field. We derive a stochastic gradient algorithm for iteratively-estimating the premixing matrix in the selective transmission problem, and through a simple modification, we obtain a second algorithm whose performance is equivariant with respect to the channel's mixing characteristics. We also describe an approximate version of the equivariant algorithm and other implementation issues. Simulations indicate the useful behavior of the premixing algorithms for selective transmission. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICASSP.1998.675469 | PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6 |
Keywords | Field | DocType |
cost function,adaptive control,base stations,blind source separation,stochastic processes,far field,performance,iterative methods,convergence,adaptive signal processing | Mathematical optimization,Equivariant map,Iterative method,Matrix (mathematics),Computer science,Near and far field,Communication channel,Stochastic process,Algorithm,Adaptive filter,Blind signal separation | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
4 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Scott C. Douglas | 1 | 0 | 0.34 |