Nabeel Ali Khan
Nabeel Ali Khan
Foundation University Islamabad
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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
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
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
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
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
Time–frequency image enhancement based on interference suppression in Wigner–Ville distribution
NA Khan, M Sandsten
Signal Processing 127, 80-85, 2016
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
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 (5), 2227-2244, 2019
Locally optimized adaptive directional time–frequency distributions
M Mohammadi, AA Pouyan, NA Khan, V Abolghasemi
Circuits, Systems, and Signal Processing 37 (8), 3154-3174, 2018
A highly adaptive directional time–frequency distribution
M Mohammadi, AA Pouyan, NA Khan
Signal, Image and Video Processing 10 (7), 1369-1376, 2016
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
Sparsity-Aware Adaptive Directional Time–Frequency Distribution for Source Localization
NA Khan, S Ali
Circuits, Systems, and Signal Processing 37 (3), 1223–1242, 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
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
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
Improved resolution short time Fourier transform
NA Khan, MN Jafri, SA Qazi
2011 7th International Conference on Emerging Technologies, 1-3, 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
Classification of EEG signals using adaptive Time-Frequency distributions
NA Khan, S Ali
Metrology and Measurement Systems 23 (2), 251--260, 2016
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
Novel direction of arrival estimation using adaptive directional spatial time-frequency distribution
NA Khan, S Ali, M Mohammadi, J Akram
Signal Processing 168, 107342, 2020
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