Random partial update sum-squared autocorrelation minimization algorithm for channel shortening (RPUSAM).
Partial updating is an effective method for reducing computational complexity in adaptive filter implementations. In this work, a novel random partial update sum-squared auto-correlation minimization (RPUSAM) algorithm is proposed. This algorithm has low computational complexity whilst achieving imp...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2008
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5591 |
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