Detecting Noise in Chaotic Signals through Principal Component Matrix Transformation

Article Properties
Journal Category
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Citations
Title Journal Journal Categories Citations Publication Date
The Existence of Autonomous Chaos in EDM Process

Machines
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
1 2022
A Novel Method for Chaos Detection in Heavy Noisy Environments Based on Distribution of Energy

International Journal of Bifurcation and Chaos
  • Science: Mathematics
  • Science: Science (General)
  • Science: Mathematics
2019
Nonlinear dynamic analysis of Dαsignals for type I edge localized modes characterization on JET with a carbon wall Plasma Physics and Controlled Fusion
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases
  • Science: Physics
3 2017
Citations Analysis
The category Science: Mathematics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Nonlinear dynamic analysis of Dαsignals for type I edge localized modes characterization on JET with a carbon wall and was published in 2017. The most recent citation comes from a 2022 study titled The Existence of Autonomous Chaos in EDM Process. This article reached its peak citation in 2022, with 1 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the Machines cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year