Name
Abstract | ||
|---|---|---|
Realizable DFEs are DFEs with stable and causal IIR filters and finite decision delay. Computational complexity of current algorithms to compute them usually grows cubically with the decision delay. In this paper, we show how complexity can be reduced to quadratic. We compare two approaches, the so-called polynomial approach and a novel state-space approach using inner-outer factorization. In both cases finite linear equation systems with structure lie at the heart of the realizable DFE. Displacement structure theory allows to solve them efficiently. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5496048 | 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING |
Keywords | Field | DocType |
MIMO systems, Decision feedback equalizers, IIR digital filters, Computation time | Linear equation,Mathematical optimization,Polynomial,Control theory,Computer science,Infinite impulse response,MIMO,Algorithm,Quadratic equation,Factorization,Finite impulse response,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
1520-6149 | 2 | 0.39 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sander Wahls | 1 | 58 | 17.32 |
| Holger Boche | 2 | 2348 | 265.41 |