A pioneering study on discrete cosine transform

Hiroshi Yamada

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 15, 5364-5368

Abstract: The discrete cosine transform is a widely applied linear transform not only in data compression but also in statistics. On the transform, John von Neumann's research article published in Annals of Mathematical Statistics in 1941 has not been recognized as a pioneering study. This note is intended to share the idea that his research is eligible to be regarded as such a study.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1838547 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:15:p:5364-5368

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2020.1838547

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().