A novel computational scheme for low multi-linear rank approximations of tensors

被引：0
|
作者：
Shekhawat, Hanumant Singh [1 ]
Weiland, Siep [2 ]
机构：
[1] Indian Inst Technol Guwahati, Dept Elect & Elect Engn, Gauhati, India
[2] Eindhoven Univ Technol, Dept Elect Engn, Eindhoven, Netherlands
来源：
2015 EUROPEAN CONTROL CONFERENCE (ECC) | 2015年
关键词：
Tensor decompositions; Jacobi iterations; singular value decompositions; DECOMPOSITIONS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Multi-linear functionals are generally known as tensors and provide a natural object of study in multi-dimensional signal and system analysis. Tensor approximation has various applications in signal processing and system theory. In this paper, we show the local convergence of a numerical method for multi-linear rank tensor approximation that is based on Jacobi iterations.
引用
收藏
页码：3003 / 3008
页数：6
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