Automated harmonic signal removal technique using stochastic subspace-based image feature extraction

Automated harmonic signal removal technique using stochastic subspace-based image feature extraction

This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by neglecting any user-defined parameter at start-up and automatically reconstruct back to become a useful output signal prior to system identifica...

Full description

Saved in:
Bibliographic Details
Main Authors: Abu Hasan, Muhammad Danial, Ahmad, Zair Asrar, Leong, Mohd. Salman, Lim, Meng Hee
Format: Article
Language:English
Published: MDPI Multidisciplinary Digital Publishing Institute 2020
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/90287/1/ZairAsrarAhmad2020_AutomatedHarmonicSignalRemovalTechnique.pdf
http://eprints.utm.my/id/eprint/90287/
http://dx.doi.org/10.3390/jimaging6030010
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/90287/1/ZairAsrarAhmad2020_AutomatedHarmonicSignalRemovalTechnique.pdf
http://eprints.utm.my/id/eprint/90287/
http://dx.doi.org/10.3390/jimaging6030010

Similar Items