首页> 外文期刊>Acoustical science and technology >High-order statistic for mean scatterer spacing estimation for human tissues characterization
【24h】

High-order statistic for mean scatterer spacing estimation for human tissues characterization

机译:用于人体组织表征的平均散射体间距估计的高阶统计量

获取原文
       

摘要

References(24) The mean scatterer spacing (MSS) has been identified as an important parameter for characterizing human tissues presenting a semi-regular lattice texture. Most of the work in this area involves the uses of an estimated power spectrum density (PSD) of an autoregressive (AR) model to deduce the MSS from backscattered ultrasonic signals. In this paper, we propose a new method of MSS estimation using the third and fourth-order cumulants, named here TFOCs, of the AR parametric model. The results obtained by this new method is compared with those obtained using PSD.
机译:参考文献(24)平均散射体间距(MSS)已被确定为表征呈现半规则晶格纹理的人体组织的重要参数。该领域的大部分工作都涉及使用自回归(AR)模型的估计功率谱密度(PSD)来从反向散射的超声信号推论出MSS。在本文中,我们提出了一种使用AR参数模型的三阶和四阶累积量(此处称为TFOC)的MSS估计的新方法。将通过这种新方法获得的结果与使用PSD获得的结果进行比较。

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