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has been cited by the following article:

• TITLE: Discrete Time-Frequency Signal Analysis and Processing Techniques for Non-Stationary Signals

  AUTHORS: S. Sivakumar, D. Nedumaran

  KEYWORDS: Non-Stationary Signal, Short Term Fourier Transform, Wigner Ville Distribution, Algorithm

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.6 No.9, September 28, 2018

  ABSTRACT: This paper presents the methodology, properties and processing of the time-frequency techniques for non-stationary signals, which are frequently used in biomedical, communication and image processing fields. Two classes of time-frequency analysis techniques are chosen for this study. One is short-time Fourier Transform (STFT) technique from linear time-frequency analysis and the other is the Wigner-Ville Distribution (WVD) from Quadratic time-frequency analysis technique. Algorithms for both these techniques are developed and implemented on non-stationary signals for spectrum analysis. The results of this study revealed that the WVD and its classes are most suitable for time-frequency analysis.