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Nabeel Ali Khan
Tytuł
Cytowane przez
Cytowane przez
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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
1822015
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
962015
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
792012
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
762016
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
532011
Time–frequency image enhancement based on interference suppression in Wigner–Ville distribution
NA Khan, M Sandsten
Signal Processing 127, 80-85, 2016
442016
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
372020
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
372019
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
342019
Locally optimized adaptive directional time–frequency distributions
M Mohammadi, AA Pouyan, NA Khan, V Abolghasemi
Circuits, Systems, and Signal Processing 37, 3154-3174, 2018
322018
A highly adaptive directional time–frequency distribution
M Mohammadi, AA Pouyan, NA Khan
Signal, Image and Video Processing 10, 1369-1376, 2016
312016
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
292018
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
282019
Sparsity-Aware Adaptive Directional Time–Frequency Distribution for Source Localization
NA Khan, S Ali
Circuits, Systems, and Signal Processing 37 (3), 1223–1242, 2018
272018
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
242017
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
222020
Improved resolution short time Fourier transform
NA Khan, MN Jafri, SA Qazi
2011 7th International Conference on Emerging Technologies, 1-3, 2011
202011
Classification of EEG signals using adaptive Time-Frequency distributions
NA Khan, S Ali
Metrology and Measurement Systems 23 (2), 251--260, 2016
192016
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
182020
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
182018
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