Discrete Time-Frequency Signal Analysis and Processing Techniques for Non-Stationary Signals - Journal of Applied Mathematics and Physics

JAMP > Vol.6 No.9, September 2018

Discrete Time-Frequency Signal Analysis and Processing Techniques for Non-Stationary Signals ()

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DOI: 10.4236/jamp.2018.69163 1,254 Downloads 3,309 Views Citations

Author(s)

S. Sivakumar¹, D. Nedumaran²

Affiliation(s)

¹P.G. and Research Department of Electronics, Government Arts College, Paramakudi, Tamilnadu, India.
²Central Instrumentation and Service Laboratory, University of Madras, Guindy Campus, Chennai, India.

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.

KEYWORDS

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

Share and Cite:

Sivakumar, S. and Nedumaran, D. (2018) Discrete Time-Frequency Signal Analysis and Processing Techniques for Non-Stationary Signals. Journal of Applied Mathematics and Physics, 6, 1916-1927. doi: 10.4236/jamp.2018.69163.

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