Segmentation of composite signal into harmonic Fourier expansion using genetic algorithm

被引：1
|
作者：
Pachuau J.L. [1 ]
Kashyap P. [1 ]
Kumar A. [1 ]
Paul R. [1 ]
Id P. [1 ]
Chandrakiran B. [1 ]
Debnath S. [2 ]
Saha A.K. [1 ]
机构：
[1] Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar
[2] Department of Information Technology, Mizoram University, Aizawl
来源：
International Journal of Information Technology | 2022年 / 14卷 / 7期
关键词：
Composite signal; Crossover; Fourier series; Genetic algorithm; Mutation; Signal decomposition;
D O I：
10.1007/s41870-022-00944-7
中图分类号：
学科分类号：
摘要：
A composite signal is generally composed of multiple signals with various frequencies and amplitudes. Fourier series expansion is one of the examples of such decomposition in sine and cosine components. The finding of coefficients value is a tedious job. Approximate decomposition of composite signal with greater accuracy is possible using optimization. In this paper, a genetic algorithm-based optimization is proposed for such decomposition. Genetic algorithm is devised to mimic the natural selection process of evolution and provides an elegant way to arrive at an optimal solution. The problem that is dealt with in this paper is to find the coefficients of a Fourier expansion for best fitting after iteration of multiple generations. Different combinations of various crossovers and mutations are implemented. The results of the different combinations are analysed with different selection techniques. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码：3507 / 3515
页数：8
相关论文
共 50 条
  • [31] Fetal electrocardiogram signal modelling using genetic algorithm
    Nazarpour, Kianoush
    Ebadi, Siamak
    Sanei, Saeid
    MEMEA 2007: SECOND - IEEE INTERNATIONAL WORKSHOP ON MEDICAL MEASUREMENT AND APPLICATIONS, 2007, : 27 - +
  • [32] Multiple traffic signal control using a genetic algorithm
    Kalganova, T
    Russell, G
    Cumming, A
    ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, 1999, : 220 - 228
  • [33] Tailoring harmonic radiation to different applications using a genetic algorithm
    Roos, L
    Gaarde, MB
    L'Huillier, A
    JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS, 2001, 34 (24) : 5041 - 5054
  • [34] Optimised Window Selection for Harmonic Signal Detection Using Short Time Fourier Transform
    Basir, M. S. S. M.
    Yusof, K. H.
    Faisal, B.
    Shahadan, N. H.
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC DEVICES, SYSTEMS AND APPLICATIONS (ICEDSA2020), 2020, 2306
  • [35] An iterative algorithm for cell segmentation using short-time Fourier transform
    Wu, HS
    Barba, J
    Gil, J
    JOURNAL OF MICROSCOPY-OXFORD, 1996, 184 : 127 - 132
  • [36] Fingerprint Segmentation Algorithm Based on Fourier Transform
    Cai, Xiumei
    Song, Mengge
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INTELLIGENT MANUFACTURING (ITIM 2017), 2017, 142 : 18 - 22
  • [37] Brain Tumor Segmentation using Genetic Algorithm and ANN Techniques
    Chithambaram, T.
    Perumal, K.
    2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 970 - 982
  • [38] Video Segmentation Using Neural Network and Distributed Genetic Algorithm
    Rai, Naveen Kumar
    Singh, Ashwini
    Mazhari, Sufian Ashraf
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 2, 2012, 131 : 229 - +
  • [39] Incorporating priors for medical image segmentation using a genetic algorithm
    Ghosh, Payel
    Mitchell, Melanie
    Tanyi, James A.
    Hung, Arthur Y.
    NEUROCOMPUTING, 2016, 195 : 181 - 194
  • [40] Prostate segmentation on pelvic CT images using a genetic algorithm
    Ghosh, Payel
    Mitchell, Melanie
    MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3, 2008, 6914
12345