Alternative to the svd: Rank revealing qr-factorizations

Tony F. Chan*

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

5 Citations (Scopus)

Abstract

Both the singular value decomposition (SVD) and the QR factorization play central roles in signal processing algorithms. The usual tradeoff is that the SVD is more expensive but can reveal rank more reliably. In this paper, we show how to construct a QR factorization which can also reveal the rank reliably. For matrices with low rank deficiency, the overhead over the usual QR procedures is negligible. It also appears possible to implement the new procedure in systolic arrays.

Original languageEnglish
Pages (from-to)31-38
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume696
DOIs
Publication statusPublished - 4 Apr 1986
Externally publishedYes

Fingerprint

Dive into the research topics of 'Alternative to the svd: Rank revealing qr-factorizations'. Together they form a unique fingerprint.

Cite this