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

页码：3003 / 3008

页数：6

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