Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Hybrid Data Compression with Supercompact Multi-wavelets

Full metadata record
DC Field Value Language
dc.contributor.author이도형-
dc.date.accessioned2021-06-23T07:06:04Z-
dc.date.available2021-06-23T07:06:04Z-
dc.date.issued2001-08-27-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/32563-
dc.description.abstractHybrid Data Compression method is presented based on supercompact wavelets. This method significantly increases the multiresolution coverage area. By relaxing the coverage area constraint (Power of two problem size), high data compression is guaranteed in any situation. Several numerical tests substantiated the applicability of the method to practical problem including RLV(Reusable Lanuch Vehicle) - Turbopump simulation data compression. The data was compressed to 10% of original size from the original several tera-size data.-
dc.titleHybrid Data Compression with Supercompact Multi-wavelets-
dc.typeConference-
dc.citation.conferenceNameNASA Summer Visiting Program Seminar-
dc.citation.conferencePlaceNASA Ames Research Center-
Files in This Item
There are no files associated with this item.
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Do hyung photo

Lee, Do hyung
ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE