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

Author

Listed:
  • Milad Daneshvar

    (Islamic Azad University, Shiraz, Iran.)

  • Nasser Parhizgar

    (Islamic Azad University, Shiraz, Iran.)

  • Homayoon Oraizi

    (Iran University of Science and Technology (IUST), Tehran, Iran.)

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.

Suggested Citation

  • Milad Daneshvar & Nasser Parhizgar & Homayoon Oraizi, 2019. "The Optimization of Ridge Detection Algorithm for Multi-Component Signals, Entered into System in Time-Frequency Domain," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 3(5), September.
    • Handle: RePEc:epw:ejece0:v:3:y:2019:i:5:id:19134
    DOI: 10.24018/ejece.2019.3.5.134
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