• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2017 5th International Conference on Electrical Engineering - Boumerdes >Performance study of three different sparse adaptive filtering algorithms for echo cancellation in long acoustic impulse responses
【24h】

Performance study of three different sparse adaptive filtering algorithms for echo cancellation in long acoustic impulse responses

机译：三种不同的稀疏自适应滤波算法在长声脉冲响应中消除回声的性能研究

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, the problem of echo cancellation in long acoustic impulse responses (AIRs) is highlighted. Three of the mostly-used recent NLMS-based sparse adaptive filtering algorithms are presented; and their performances in the context of acoustic echo cancellation (AEC) are studied and compared. The algorithms of interest include the improved proportionate normalized least mean square (IPNLMS), its sparseness-controlled (SC) upgrade (SC-IPNLMS) as well as the so-called variable-step-size reweighted zero-attractor NLMS (VSS-RZA-NLMS) which is based on the compressive sensing (CS) framework. Series of simulations were carried out both in synthetic and real different-sparseness long acoustic impulse responses with stationary and non-stationary inputs in order to effectively analyze, evaluate and compare the strengths and the weaknesses of these algorithms in terms of convergence speed, steady-state performance and computational complexity.
机译：在本文中，突出了长声脉冲响应（AIR）中回声消除的问题。提出了三种最近最常用的基于NLMS的稀疏自适应滤波算法；研究和比较了它们在声学回声消除（AEC）情况下的性能。感兴趣的算法包括改进的比例归一化最小均方（IPNLMS），稀疏控制（SC）升级（SC-IPNLMS）以及所谓的可变步长重加权零吸引子NLMS（VSS-RZA） -NLMS），它基于压缩感知（CS）框架。在固定和非固定输入的合成和实际稀疏长声脉冲响应中均进行了一系列模拟，以便有效地分析，评估和比较这些算法在收敛速度，稳定度和稳定性方面的优缺点。状态性能和计算复杂性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号