摘要
对回声消除问题进行分析后,提出了一种条件自适应滤波算法。新算法并不要求自适应滤波器达到最优值,而是在满足一定条件时才进行系数更新。这种算法可以用在回声消除领域,很好地解决信道变化和双端发声的区分问题。文章还对这种条件自适应滤波算法的收敛性能做了严格分析,并且给出了和分析结果相吻合的计算机仿真结果。
This paper, based on analysis of the problem in echo cancellation, proposes a conditional adaptive filtering algorithm. This new algorithm need not require the adaptive filter converge to reach the optimal value.And the filter updates its coefficients only when the condition is satisfied. This algorithm could be used in echo cancellation and solve the problem of distinguishing echo path change from double-talk. And this paper also discusses the convergence performance of this new algorithm and gives the simulation results agreeable to the analysis results.
出处
《通信技术》
2009年第7期50-52,109,共4页
Communications Technology
基金
安徽省教育厅自然科学研究重点项目(KJ2009A55)
安徽省教育厅教学研究项目(2007jyxm407)
合肥学院2009年度科研发展基金重点项目(09KY02ZD)