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首页> 外文期刊>IEE Proceedings. Part K >Hybrid LMS-LMF algorithm for adaptive echo cancellation
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Hybrid LMS-LMF algorithm for adaptive echo cancellation

机译:用于自适应回声消除的混合LMS-LMF算法

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摘要

The coefficients of an echo canceller with a near-end section and a far-end section are usually updated with the same updating scheme, such as the LMS algorithm. A novel scheme is proposed for echo cancellation that is based on the minimisation of two different cost functions, i.e. one for the near-end section and a different one for the far-end section. The approach considered leads to a substantial improvement in performance over the LMS algorithm when it is applied to both sections of the echo canceller. The convergence properties of the algorithm are derived. The proposed scheme is also shown to be robust to noise variations. Simulation results confirm the superior performance of the new algorithm.
机译:通常使用相同的更新方案(例如LMS算法)更新具有近端部分和远端部分的回声消除器的系数。提出了一种用于回声消除的新颖方案,其基于两个不同成本函数的最小化,即一个用于近端部分,而另一个用于远端部分。当将其应用于回声消除器的两个部分时,所考虑的方法与LMS算法相比可显着提高性能。推导了算法的收敛性。所提出的方案还显示出对噪声变化具有鲁棒性。仿真结果证实了新算法的优越性能。

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