Referenced Items are not available for this document.
A distributed algorithm for MIMO adaptive filtering is introduced. This algorithm distributes the adaptive computation over a set of linearly connected computational modules. Each module transmits data to and receives data from its nearest neighbor. A back-propagation LMS based algorithm is presented for adapting the parameters in each module. The performance surface is explored to identify upper bounds on each parameter and guidelines for choosing the LMS algorithm step sizes. An example illustrates the application of the algorithm
Published in:
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
(Volume:3
)
Date of Conference: 12-15 May 1998
- Page(s):
- 1489 - 1492 vol.3
- Meeting Date :
- 12 May 1998-15 May 1998
- ISSN :
- 1520-6149
- Print ISBN:
- 0-7803-4428-6
- INSPEC Accession Number:
- 6046859
- Conference Location :
- Seattle, WA
- Digital Object Identifier :
- 10.1109/ICASSP.1998.681731
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