2018
DOI: 10.1002/mma.4836
|View full text |Cite
|
Sign up to set email alerts
|

Influence of a simple pole on the convergence of separate node ascending derivatives expansion (SNADE) on a sequence of nodes alternating between 2 values

Abstract: This work focuses on the influence of a simple pole on a new function representing method we called separate node ascending derivatives expansion (SNADE) convergence characteristics. Even though SNADE can be somehow considered as a new Taylor series expansion, it is distincted from Taylor series expansion by its different nodal points using features. This paper focuses on certain details of SNADE about convergence and its validity. Beyond that, this research focusing on the influence of a simple pole location … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…Although some research results have been achieved, it is difcult to break through the bottleneck of human pose recognition research using video due to changes in light intensity, interference from complex backgrounds, and the self-occlusion of target users. In the recent years, with the rapid development of video capture technology, such as Kinect, researchers can easily obtain coordinated information on the image, depth image, and skeletal joint points [3,4]. Te information provided by depth images [5] can refect the three-dimensional structural information and the geometry of target objects well compared with the images.…”
Section: Introductionmentioning
confidence: 99%
“…Although some research results have been achieved, it is difcult to break through the bottleneck of human pose recognition research using video due to changes in light intensity, interference from complex backgrounds, and the self-occlusion of target users. In the recent years, with the rapid development of video capture technology, such as Kinect, researchers can easily obtain coordinated information on the image, depth image, and skeletal joint points [3,4]. Te information provided by depth images [5] can refect the three-dimensional structural information and the geometry of target objects well compared with the images.…”
Section: Introductionmentioning
confidence: 99%