A novel single lag auto-correlation minimization (SLAM) algorithm for blind adaptive channel shortening
A blind adaptive channel shortening algorithm based on minimizing the sum of the squared autocorrelations (SAM) of the effective channel was recently proposed. We submit that identical channel shortening can be achieved by minimizing the square of only a single autocorrelation. Our proposed single l...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2005
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5666 |
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