A NOVEL APPROACH TO CLASSIFY AND CONVERT 1D SIGNAL TO 2D GRAYSCALE IMAGE IMPLEMENTING SUPPORT VECTOR MACHINE AND EMPIRICAL MODE DECOMPOSITION ALGORITHM.

Journal Title: International Journal of Advanced Research (IJAR) - Year 2019, Vol 7, Issue 1

Abstract

This paper represents a novel approach to transform one dimension (1-D) signals into two dimension (2-D) grayscale image and a feature extraction process to extricate detail texture data of this 2D image to classify signals utilizing multi-class support vector machine. In all previous approaches of the signal processing strategies, the signal is continuously processed in one dimension (1-D) representation. Hence, a gigantic relationship information between time and frequency coefficients is effectively missing. To annihilate these issues, two dimensions representation of the signal is assessed in this paper. Centering on creating a proficient highlight extraction strategy for evacuating deficiencies of motor signals utilizing the 2-D image. Each pixel is taken and squaring it to discover out the energy and making it to gray image. The esteem of tests is normalized based on the tests of the signals within the time space, and Empirical Mode Decomposition (EMD) is to distinguish the low frequency which fundamentally represents to noise and evacuate it from the image. Segmentation-based Fractal Texture Investigation (SFTA) algorithm is used to extricate the feature vectors which are utilized for classifying the signals using multi-class support vector machine (SVM). The precision is 88.57% which is picked up from confusion matrix while classifying signals.

Authors and Affiliations

M. Azad, F. Khaled, M. I. Pavel.

Keywords

Related Articles

NEW CASE OF CONRADI HUNERMANN SYNDROME IN A NEWBORN MALE.

Chondrodysplasia punctata type 2, also known as Conradi-Hunermann-Happle syndrome, is a rare genetic disorder. This disorder is characterized by bone, skin and eye abnormalities.It occurs almost exclusively in females as...

ECONOMIC THEORY OF CONFLICT.

Conflict is ubiquitous and permanently recurring phenomenon of human. Most of these conflicts are economically induced, and have impeded science, technology and security of nation states. There are different explanations...

PREPARATION ET CARACTERISATION DE CHARBON ACTIF ISSU DE LA COQUE DE CACAO.

To effectively and cheaply remove pollutants, research is directed towards the use of agricultural wastes as remediation materials. This work is about the analysis of the physical and chemical parameters of activated cha...

REENGAGEMENT OF THIRD GENDER CHILDREN THROUGH THEIR EDUCATION.

The well-known \"Hijra\" group lives culturally, educationally, economically, psycho-socially and psycho-sexually on the margins. They are also battling for their identity and freedoms for hundreds of years. Conclusion o...

Download PDF file
  • EP ID EP458682
  • DOI 10.21474/IJAR01/8331
  • Views 91
  • Downloads 0

How To Cite

M. Azad, F. Khaled, M. I. Pavel. (2019). A NOVEL APPROACH TO CLASSIFY AND CONVERT 1D SIGNAL TO 2D GRAYSCALE IMAGE IMPLEMENTING SUPPORT VECTOR MACHINE AND EMPIRICAL MODE DECOMPOSITION ALGORITHM.. International Journal of Advanced Research (IJAR), 7(1), 328-335. https://europub.co.uk/articles/-A-458682