...
  • 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) >Translation-invariant denoising using the minimum description length criterion
【24h】

Translation-invariant denoising using the minimum description length criterion

机译：Translation-invariant denoising using the minimum description length criterion

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

A translation-invariant denoising method based on the minimum description length (MDL) criterion and tree-structured best-basis algorithms is presented. A collection of signal models is generated using an extended library of orthonormal wavelet-packet bases, and an additive cost function, approximately representing the MDL principle, is derived. We show that the minimum description length of the noisy observed data is achieved by utilizing the shift-invarient wavelet packet decomposition (SIWPD) and thresholding the resulting coefficients. This approach is extendable to local trigonometric decompositions, and corresponding procedures to optimize either the library of bases or the filter banks used at each node of the expansion-tree are described. The signal estimator is efficiently combined with a modified Wigner distribution, yielding robust time-frequency representations, characterized by high resolution and suppressed interference-terms. The proposed method is compared to alternative existing methods, and its superiority is demonstrated by synthetic and real data examples.

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