Adaptive spectrogram vs. adaptive pseudo-Wigner-Ville distribution for instantaneous frequency estimation

Authors:
S. Chandra Sekhar;T. V. Sreenivas
Affiliations:
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore-560 012, Karnataka, India;Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore-560 012, Karnataka, India
Venue:
Signal Processing - From signal processing theory to implementation
Year:
2003

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Abstract

To estimate the instantaneous frequency (IF) using the peak of the spectrogram, we use an approach that automatically adapts the window length to the changes in IF and tracks it better than a fixed window approach. An adaptive window-based time-frequency representation is more useful for tracking events in time and frequency. The peak of the spectrogram obtained using the adaptive window length algorithm is used as an IF estimator and its performance in the presence of multiplicative and additive noise is studied. The performance is compared with that of pseudo-Wigner-Ville distribution (Ps.WVD). Both analytically and experimentally, adaptive spectrogram was found to be more robust than adaptive Ps.WVD.