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Echo cancellation in VoIP with improved least square lattice method

机译:使用改进的最小二乘方阵方法消除VoIP中的回声

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In this work, an approach to echo cancellation in VoIP network based on the packet-based echo cancellation model was employed. In addition, a comparative validation was performed and then analysed specifically in the state of echo canceller as adaptive filtering was done by using three algorithms: normalised least mean square (NLMS), recursive least square (RLS) and least square lattice (LSL). Communication environments with three different echo strength levels: 20%, 50% and 70% of far-end speech were simulated. The result shows that in terms of time computation, NLMS is the best, followed by LSL and RLS as the last. However, NLMS suffers from the measure of ERLE, as it falls to the third place, followed by LSL and RLS as the first. Then, taking them all into consideration, it could be concluded that LSL is the best among all for echo cancellation as verified in the experimental simulation.
机译:在这项工作中,采用了一种基于基于分组的回声消除模型的VoIP网络中的回声消除方法。此外,进行了比较验证,然后在回声消除器的状态下进行了具体分析,因为使用以下三种算法进行了自适应滤波:归一化最小均方(NLMS),递归最小二乘(RLS)和最小二乘方格(LSL)。模拟了三种不同回声强度级别的通信环境:远端语音的20%,50%和70%。结果表明,就时间计算而言,NLMS是最好的,其次是LSL和RLS。但是,NLMS受ERLE的影响,因为它跌至第三位,其次是LSL和RLS。然后,将它们全部考虑在内,可以得出结论,如在实验仿真中验证的那样,对于回声消除来说,LSL是最好的。

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