Signal Processing 2010
DOI: 10.5772/8531
|View full text |Cite
|
Sign up to set email alerts
|

Space-Filling Curves in Generating Equidistrubuted Sequences and Their Properties in Sampling of Images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 25 publications
(14 reference statements)
0
0
0
Order By: Relevance
“…) is an upperbound. The same bound is valid for the multidimensional Hilbert curve [37], [11]. Furthermore, it is known that for the 2-D Sierpiński curve, the smallest possible constant equals 2 [26] or is close to 6 1/2 for the 2-D Hilbert curve [10], [37].…”
Section: A Properties Of the Proposed Family Of The Space-filling Curvesmentioning
confidence: 60%
See 1 more Smart Citation
“…) is an upperbound. The same bound is valid for the multidimensional Hilbert curve [37], [11]. Furthermore, it is known that for the 2-D Sierpiński curve, the smallest possible constant equals 2 [26] or is close to 6 1/2 for the 2-D Hilbert curve [10], [37].…”
Section: A Properties Of the Proposed Family Of The Space-filling Curvesmentioning
confidence: 60%
“…We present a simple algorithm for computing a transformation of multidimensional data points onto the unit interval using the proposed a Sierpiński type space-filling curve generalization. Specific ideas regarding the generalization of the Sierpiński curve were considered in the author's monograph [37], but the algorithms presented in this work are new and have not been published anywhere.…”
Section: Concluding Commentsmentioning
confidence: 99%