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.