Signal Detection in Singular Value Decomposition
Optimization and Control
2016-12-01 v1
Abstract
We develop an Iterative version of the Singular Value Decomposition (ISVD) that jointly analyzes a finite number of data matrices to identify signals that correlate among the rows of matrices. It will be illustrated how the supervised analysis of a big data set by another complex, multi-dimensional phenotype using the ISVD algorithm could lead to signal detection.
Cite
@article{arxiv.1611.10257,
title = {Signal Detection in Singular Value Decomposition},
author = {Mohsen Rakhshan},
journal= {arXiv preprint arXiv:1611.10257},
year = {2016}
}
Comments
13 pages