...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP) >AN EFFICIENT APPROXIMATION TO THE QUADRATIC VOLTERRA FILTER AND ITS APPLICATION IN REAL-TIME LOUDSPEAKER LINEARIZATION
【24h】

AN EFFICIENT APPROXIMATION TO THE QUADRATIC VOLTERRA FILTER AND ITS APPLICATION IN REAL-TIME LOUDSPEAKER LINEARIZATION

机译：AN EFFICIENT APPROXIMATION TO THE QUADRATIC VOLTERRA FILTER AND ITS APPLICATION IN REAL-TIME LOUDSPEAKER LINEARIZATION

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

摘要

Nonlinear filtering based on the Volterra series expansion is a powerful and popular approach in signal processing. However, a serious problem is the increased filter complexity as compared to linear filtering. This paper presents an efficient approximation to the second-order Volterra filter. The proposed filter structure, called multi-memory decomposition (MMD), is composed of three linear FIR filters and one multiplier. Hence, the number of required filter operations is linear in the filter memory length. MMD coefficient determination with respect to a second-order reference kernel is presented. Additionally, block-oriented and adaptive algorithms are proposed which calculate the filter weights from input and output measurements of an unknown system. The good performance of the MMD model is demonstrated by simulations and in a real-time application. Therefore, the linearization scheme for the compensation of nonlinear distortions with a preprocessor is introduced. The preprocessor was implemented on a DSP system to reduce the nonlinear distortions of electrodynamic loudspeakers in real-time. The results show the gain in performance if an MMD filter is used instead of a Volterra filter. This is due to the fact that with a given computational power longer memory lengths can be achieved by the MMD model.

著录项

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