Name
Abstract | ||
|---|---|---|
We propose multi-domain adaptive filtering based on the idea of feasibility splitting - dealing with feasibility in individual domains. The proposed approach provides a useful and mathematically rigorous framework to incorporate multiple pieces of information (expressed in different domains) efficiently. Indeed, it processes such multiple pieces of information by means of the metric projection in each individual domain; this is a significant advantage over existing single-domain approaches. Also we provide a reasonable strategy to treat the case where the available prior information is inconsistent. A convergence analysis and numerical examples are presented to support the proposed method. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495839 | Acoustics Speech and Signal Processing |
Keywords | Field | DocType |
adaptive filters,signal processing,convergence analysis,feasibility splitting,multi-domain adaptive filtering,numerical examples,Set-theoretic adaptive filtering,convex feasibility problem,metric projection,subgradient projection | Convergence (routing),Signal processing,Mathematical optimization,Algorithm design,Computer science,Metric projection,Multi domain,Inverse problem,Adaptive filter,Signal processing algorithms | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-4296-6 | 978-1-4244-4296-6 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Yukawa | 1 | 81 | 5.90 |
| Konstantinos Slavakis | 2 | 103 | 5.04 |
| Isao Yamada | 3 | 58 | 3.74 |