| Paper: | SPTM-P8.10 | ||
| Session: | Adaptive Systems and Filtering II | ||
| Time: | Thursday, May 18, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Adaptive Systems and Filtering | ||
| Title: | Distributed Adaptive Incremental Strategies: Formulation and Performance Analysis | ||
| Authors: | Cassio Lopes, Ali H. Sayed, University of California, Los Angeles, United States | ||
| Abstract: | An adaptive distributed strategy is developed based on incremental gradient techniques. The resulting algorithm is a fully distributed and cooperative scheme that can respond in real time to changes in the environment. Each node is allowed to communicate with its immediate neighbor in order to exploit the spatial dimension while at the same time reducing the communications burden. A spatial-temporal energy conservation argument is used to evaluate the steady-state mean-square-error performance of the individual nodes across the adaptive distributed network. Computer simulations illustrate the results. | ||
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