The Optimization of Ridge Detection Algorithm for Multi-Component Signals, Entered into System in Time-Frequency Domain

Milad Daneshvar, Nasser Parhizgar and Homayoon Oraizi

European Journal of Electrical Engineering and Computer Science, 2019, vol. 3, issue 5

Abstract: In this paper, we propose a method for applying the time and frequency domain's representation to multicomponent signals. Our discussion is based on the method of ridge detection extraction taking into account the time and frequency domain by following the demodulation method, and the numerical results obtained by applying this method are evident compared to other methods that do not use demodulation. The simulation carried out on the examine signals indicates that the signal estimation can be accessed by the initial estimation of the information carrier signals. In both noisy and noise-free environments, the frequency-time-based observation method is more accurate than the other methods.

Keywords: Ridge Detection; Time Frequency Domain; Multi-Component Signal; Synchrosqueezing Transform (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejece/article/view/19134 Abstract page (text/html)
https://eu-opensci.org/index.php/ejece/article/download/19134/11049 Full text (application/pdf)

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:epw:ejece0:v:3:y:2019:i:5:id:19134

DOI: 10.24018/ejece.2019.3.5.134

Access Statistics for this article

More articles in European Journal of Electrical Engineering and Computer Science from European Open Science
Bibliographic data for series maintained by support ().