A highly adaptive directional time–frequency distribution

[1]  Nabeel Ali Khan,et al.  Multi‐component instantaneous frequency estimation using locally adaptive directional time frequency distributions , 2016 .

[2]  Peter V. E. McClintock,et al.  Linear and synchrosqueezed time-frequency representations revisited: Overview, standards of use, resolution, reconstruction, concentration, and algorithms , 2015, Digit. Signal Process..

[3]  John M. O'Toole,et al.  Automatic quality assessment and optimisation of quadratic time–frequency representations , 2015 .

[4]  Stanislav Pikula,et al.  Verification of enhanced interference reduction in WVD on real non-stationary acoustic signal , 2015, Proceedings of the 2015 16th International Carpathian Control Conference (ICCC).

[5]  Boualem Boashash,et al.  Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review , 2015, Digit. Signal Process..

[6]  Ljubisa Stankovic,et al.  Time-Frequency Signal Analysis With Applications , 2013 .

[7]  Boualem Boashash,et al.  Instantaneous Frequency Estimation of Multicomponent Nonstationary Signals Using Multiview Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram , 2013, IEEE Signal Processing Letters.

[8]  M. Bastiaans,et al.  On rotated time-frequency kernels , 2002, IEEE Signal Processing Letters.

[9]  LJubisa Stankovic,et al.  A measure of some time-frequency distributions concentration , 2001, Signal Process..

[10]  Douglas L. Jones,et al.  An adaptive optimal-kernel time-frequency representation , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[11]  Jing Zhang,et al.  CAF-FrFT: A center-affine-filter with fractional Fourier transform to reduce the cross-terms of Wigner distribution , 2014, Signal Processing.