Adaptive windowed Fourier transform
Signal Processing
Adaptive window zero-crossing-based instantaneous frequency estimation
EURASIP Journal on Applied Signal Processing
Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
Adaptive algorithm for chirp-rate estimation
EURASIP Journal on Advances in Signal Processing
Hi-index | 754.84 |
The L-Wigner distributions are defined in order to improve the concentration of signal's time-frequency representation. For a finite distribution order and nonlinear instantaneous frequency (IF) it gives biased IF estimates. In the case of noisy signals the optimal window length and distribution order depend on the noise variance and unknown IF. In this article an adaptive IF estimator with the time-varying and data-driven window length and distribution order is developed. Based on the analysis that has been done here, lower order time-frequency distributions are introduced