Time–frequency features for pattern recognition using high-resolution TFDs: A tutorial review B Boashash, NA Khan, T Ben-Jabeur Digital Signal Processing 40, 1-30, 2015 | 199 | 2015 |
Principles of time–frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection B Boashash, G Azemi, NA Khan Pattern Recognition 48 (3), 616-627, 2015 | 119 | 2015 |
Multi-component instantaneous frequency estimation using locally adaptive directional time frequency distributions NA Khan, B Boashash International Journal of Adaptive Control and Signal Processing 30 (3), 429–442, 2016 | 86 | 2016 |
Instantaneous frequency estimation of multicomponent nonstationary signals using multiview time-frequency distributions based on the adaptive fractional spectrogram NA Khan, B Boashash IEEE Signal Processing Letters 20 (2), 157-160, 2012 | 81 | 2012 |
Cross-term elimination in Wigner distribution based on 2D signal processing techniques NA Khan, IA Taj, MN Jaffri, S Ijaz Signal Processing 91 (3), 590-599, 2011 | 56 | 2011 |
A robust and efficient instantaneous frequency estimator of multi-component signals with intersecting time-frequency signatures NA Khan, S Ali Signal Processing 177, 107728, 2020 | 53 | 2020 |
Time–frequency image enhancement based on interference suppression in Wigner–Ville distribution NA Khan, M Sandsten Signal Processing 127, 80-85, 2016 | 49 | 2016 |
A modified viterbi algorithm-based if estimation algorithm for adaptive directional time–frequency distributions NA Khan, M Mohammadi, I Djurović Circuits, Systems, and Signal Processing 38, 2227-2244, 2019 | 48 | 2019 |
Seismic random noise attenuation using sparse low-rank estimation of the signal in the time–frequency domain R Anvari, AR Kahoo, M Mohammadi, NA Khan, Y Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 47 | 2019 |
Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes NA Khan, M Mohammadi, S Ali Signal, Image and Video Processing 13 (3), 517-524, 2019 | 43 | 2019 |
Locally optimized adaptive directional time–frequency distributions M Mohammadi, AA Pouyan, NA Khan, V Abolghasemi Circuits, Systems, and Signal Processing 37, 3154-3174, 2018 | 39 | 2018 |
A new feature for the classification of non-stationary signals based on the direction of signal energy in the time–frequency domain NA Khan, S Ali Computers in biology and medicine 100, 10-16, 2018 | 35 | 2018 |
A highly adaptive directional time–frequency distribution M Mohammadi, AA Pouyan, NA Khan Signal, Image and Video Processing 10, 1369-1376, 2016 | 31 | 2016 |
Sparsity-Aware Adaptive Directional Time–Frequency Distribution for Source Localization NA Khan, S Ali Circuits, Systems, and Signal Processing 37 (3), 1223–1242, 2018 | 28 | 2018 |
Performance comparison of time-frequency distributions for estimation of instantaneous frequency of heart rate variability signals NA Khan, P Jönsson, M Sandsten Applied Sciences 7 (3), 221, 2017 | 26 | 2017 |
Random noise attenuation of 2D seismic data based on sparse low-rank estimation of the seismic signal R Anvari, M Mohammadi, AR Kahoo, NA Khan, AI Abdullah Computers & Geosciences 135, 104376, 2020 | 25 | 2020 |
Classification of EEG signals using adaptive time-frequency distributions NA Khan, S Ali Metrology and Measurement Systems 23 (2), 251--260, 2016 | 25 | 2016 |
Improved resolution short time Fourier transform NA Khan, MN Jafri, SA Qazi 2011 7th International Conference on Emerging Technologies, 1-3, 2011 | 25 | 2011 |
Sparse reconstruction based on iterative TF domain filtering and Viterbi based IF estimation algorithm NA Khan, M Mohammadi, I Stankovic Signal Processing 166, 107260, 2020 | 23 | 2020 |
Automatic seizure detection using a highly adaptive directional time–frequency distribution M Mohammadi, N Ali Khan, AA Pouyan Multidimensional Systems and Signal Processing 29 (4), 1661-1678, 2018 | 22 | 2018 |