Efficient analysis of time-varying multicomponent signals with modified LPTFT
EURASIP Journal on Applied Signal Processing
A new approach for estimation of instantaneous mean frequency of a time-varying signal
EURASIP Journal on Applied Signal Processing
Sensorless speed measurement of AC machines using time frequency analysis
ESPOCO'05 Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control
An adaptive resolution computationally efficient short-time Fourier transform
Research Letters in Signal Processing
Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
Adaptive fractional Fourier domain filtering
Signal Processing
Superposition frames for adaptive time-frequency analysis and fast reconstruction
IEEE Transactions on Signal Processing
Time-frequency representation based on an adaptive short-time Fourier transform
IEEE Transactions on Signal Processing
Fast-varying AM-FM components extraction based on an adaptive STFT
Digital Signal Processing
Periodic disturbance cancellation with uncertain frequency
Automatica (Journal of IFAC)
Computers & Mathematics with Applications
Signal-adaptive discrete evolutionary transform as a sparse time-frequency representation
Digital Signal Processing
| Hi-index | 35.69 |
Instantaneous frequency estimation (IFE) arises in a variety of important applications, including FM demodulation. We present here a new time-frequency representation (TFR)-based approach to IFE based on an adaptive short-time Fourier transform (ASTFT). This TFR leads naturally to a type of short-term ML estimator of the IF. To further improve the performance, we apply a multistate hidden Markov model (HMM)-based post-estimation tracker. The end result is up to a 16-dB reduction in the threshold SNR over the frequency discriminator (FD) and an 8-dB improvement over the phase-locked loop (PLL) for a Rayleigh fading channel