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35

CORR
2010
Springer

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Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations

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Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations

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We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algorithms for sparse channel estimation such as matching pursuit, iterative detection and least squares.

Sushil Subramanian

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Channel Estimation | CORR 2010 | Education | Sparse Channel Estimation | Sparse Underwater Channel |

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Added	09 Dec 2010
Updated	09 Dec 2010
Type	Journal
Year	2010
Where	CORR
Authors	Sushil Subramanian

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