首页> 外文会议>IEEE International Conference on Acoustics, Speech and Signal Processing >Performance estimation for tensor CP decomposition with structured factors
【24h】

Performance estimation for tensor CP decomposition with structured factors

机译:具有结构化因子的张量CP分解的性能估计

获取原文

摘要

The Canonical Polyadic tensor decomposition (CPD), also known as Candecomp/Parafac, is very useful in numerous scientific disciplines. Structured CPDs, i.e. with Toeplitz, circulant, or Hankel factor matrices, are often encountered in signal processing applications. As subsequently pointed out, specialized algorithms were recently proposed for estimating the deterministic parameters of structured CP decompositions. A closed-form expression of the Cramér-Rao bound (CRB) is derived, related to the problem of estimating CPD parameters, when the observed tensor is corrupted with an additive circular i.i.d. Gaussian noise. This CRB is provided for arbitrary tensor rank and sizes. Finally, the proposed CRB expression is used to asses the statistical efficiency of the existing algorithms by means of simulation results in the cases of third-order tensors having three circulant factors on one hand, and an Hankel factor on the other hand.
机译:规范的多态张量分解(CPD),也称为Candecomp / Parafac,在许多科学学科中都非常有用。结构化CPD,即具有Toeplitz,循环或Hankel因子矩阵的CPD,经常在信号处理应用中遇到。正如随后指出的那样,最近提出了专用算法来估计结构化CP分解的确定性参数。当观察到的张量被附加圆i.i.d破坏时,得出Cramér-Rao界(CRB)的闭式表达式,这与估计CPD参数的问题有关。高斯噪声。提供此CRB用于任意张量等级和大小。最后,在一方面具有三个循环因子而另一方面具有汉克尔因子的三阶张量的情况下,通过仿真结果,将所提出的CRB表达式用于评估现有算法的统计效率。

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