A compound near-far end least square-fourth error minimization foradaptive echo cancellation
This article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This...
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| Other Authors: | , , |
| Format: | article |
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1996
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14317/1/14317_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14317/2/14317_2.doc |
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| Summary: | This article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This combination results in a substantial improvement of the performance of the proposed scheme over the LMS algorithm in Gaussian and non-Gaussian environments (additive noise). However, the application of the LMF and the LMS algorithms to the near-end and the far-end sections, respectively, results in a poor performance. Simulation results, confirm the superior performance of the new algorithm |
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