Spline-Kernelled Chirplet Transform for the Analysis of Signals With Time-Varying Frequency and Its Application

@article{Yang2012SplineKernelledCT,
  title={Spline-Kernelled Chirplet Transform for the Analysis of Signals With Time-Varying Frequency and Its Application},
  author={Y. Yang and Z. K. Peng and G. Meng and W. M. Zhang},
  journal={IEEE Transactions on Industrial Electronics},
  year={2012},
  volume={59},
  pages={1612-1621}
}
The conventional time-frequency analysis (TFA) methods, including continuous wavelet transform, short-time Fourier transform, and Wigner-Ville distribution, have played important roles in analyzing nonstationary signals. However, they often show less capability in dealing with nonstationary signals with time-varying frequency due to the bad energy concentration in the time-frequency plane. On the other hand, by introducing an extra transform kernel that matches the instantaneous frequency of… CONTINUE READING
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