Modified Gabor Wigner Transform for Crisp Time Frequency Representation. - Nabeel Ali Khan; M. Noman Jaffri; Syed Ismail Shah (ICSAP, 2009)

Instantaneous Frequency Estimation Using Fractional Fourier Transform and Wigner Distribution. - Nabeel Ali Khan; Imtiaz A. Taj; M. Noman Jaffri (ICSAP, 2010)

Cross-term elimination in Wigner distribution based on 2D signal processing techniques. - Nabeel Ali Khan; Imtiaz A. Taj; M. Noman Jaffri; Salman Ijaz 001 (Signal Process., 2011)

Instantaneous Frequency Estimation of Multicomponent Nonstationary Signals Using Multiview Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram. - Nabeel Ali Khan; Boualem Boashash (IEEE Signal Process. Lett., 2013)

Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review. - Boualem Boashash; Nabeel Ali Khan; Taoufik Ben Jabeur (Digit. Signal Process., 2015)

Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection. - Boualem Boashash; Ghasem Azemi; Nabeel Ali Khan (Pattern Recognit., 2015)

Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution. - Nabeel Ali Khan; Maria Sandsten (Signal Process., 2016)

A highly adaptive directional time-frequency distribution. - Mokhtar Mohammadi; Ali Akbar Pouyan; Nabeel Ali Khan (Signal Image Video Process., 2016)

Blind Source Separation Schemes for Mono-sensor and Multi-sensor Systems with Application to Signal Detection. - Sadiq Ali; Nabeel Ali Khan; Muhammad Haneef; Xiliang Luo (Circuits Syst. Signal Process., 2017)

A new feature for the classification of non-stationary signals based on the direction of signal energy in the time-frequency domain. - Nabeel Ali Khan; Sadiq Ali (Comput. Biol. Medicine, 2018)

Sparsity-Aware Adaptive Directional Time-Frequency Distribution for Source Localization. - Nabeel Ali Khan; Sadiq Ali (Circuits Syst. Signal Process., 2018)

Exploiting Temporal Correlation for Detection of Non-stationary Signals Using a De-chirping Method Based on Time-Frequency Analysis. - Nabeel Ali Khan; Sadiq Ali (Circuits Syst. Signal Process., 2018)

Reconstruction of Non-stationary Signals with Missing Samples Using Time-frequency Filtering. - Nabeel Ali Khan; Mokhtar Mohammadi (Circuits Syst. Signal Process., 2018)

Locally Optimized Adaptive Directional Time-Frequency Distributions. - Mokhtar Mohammadi; Ali Akbar Pouyan; Nabeel Ali Khan; Vahid Abolghasemi (Circuits Syst. Signal Process., 2018)

Direction of arrival estimation using adaptive directional time-frequency distributions. - Nabeel Ali Khan; Sadiq Ali; Magnus Jansson (Multidimens. Syst. Signal Process., 2018)

Automatic seizure detection using a highly adaptive directional time-frequency distribution. - Mokhtar Mohammadi; Nabeel Ali Khan; Ali Akbar Pouyan (Multidimens. Syst. Signal Process., 2018)

An improved design of adaptive directional time-frequency distributions based on the Radon transform. - Mokhtar Mohammadi; Ali Akbar Pouyan; Nabeel Ali Khan; Vahid Abolghasemi (Signal Process., 2018)

A Modified Viterbi Algorithm-Based IF Estimation Algorithm for Adaptive Directional Time-Frequency Distributions. - Nabeel Ali Khan; Mokhtar Mohammadi; Igor Djurovic (Circuits Syst. Signal Process., 2019)

Instantaneous frequency estimation of intersecting and close multi-component signals with varying amplitudes. - Nabeel Ali Khan; Mokhtar Mohammadi; Sadiq Ali (Signal Image Video Process., 2019)

Seismic Random Noise Attenuation Using Sparse Low-Rank Estimation of the Signal in the Time-Frequency Domain. - Rasoul Anvari; Amin Roshandel Kahoo; Mokhtar Mohammadi; Nabeel Ali Khan; Yangkang Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Detection of Frequency Modulated Signals Using a Robust IF Estimation Algorithm. - Nabeel Ali Khan; Mokhtar Mohammadi (Circuits Syst. Signal Process., 2020)

Spike Detection Based on the Adaptive Time-Frequency Analysis. - Mokhtar Mohammadi; Nabeel Ali Khan; Hamid Hassanpour; Adil Hussien Mohammed (Circuits Syst. Signal Process., 2020)

Random noise attenuation of 2D seismic data based on sparse low-rank estimation of the seismic signal. - Rasoul Anvari; Mokhtar Mohammadi; Amin Roshandel Kahoo; Nabeel Ali Khan; Abdulqadir Ismail Abdullah (Comput. Geosci., 2020)

Direction of arrival estimation of sources with intersecting signature in time-frequency domain using a combination of IF estimation and MUSIC algorithm. - Nabeel Ali Khan; Sadiq Ali; Mokhtar Mohammadi; Muhammad Haneef (Multidimens. Syst. Signal Process., 2020)

A robust and efficient instantaneous frequency estimator of multi-component signals with intersecting time-frequency signatures. - Nabeel Ali Khan; Sadiq Ali (Signal Process., 2020)

Novel direction of arrival estimation using Adaptive Directional Spatial Time-Frequency Distribution. - Nabeel Ali Khan; Sadiq Ali; Mokhtar Mohammadi; Jamal Akram (Signal Process., 2020)

Sparse reconstruction based on iterative TF domain filtering and Viterbi based IF estimation algorithm. - Nabeel Ali Khan; Mokhtar Mohammadi; Isidora Stankovic (Signal Process., 2020)

Multi-component instantaneous frequency estimation using signal decomposition and time-frequency filtering. - Jamal Akram; Nabeel Ali Khan; Sadiq Ali; Adeel Akram (Signal Image Video Process., 2020)

An instantaneous frequency and group delay based feature for classifying EEG signals. - Nabeel Ali Khan; Sadiq Ali; Kwonhue Choi (Biomed. Signal Process. Control., 2021)

Multi-component instantaneous frequency estimation in mono-sensor and multi-sensor recordings with application to source localization. - Nabeel Ali Khan; Sadiq Ali (Multidimens. Syst. Signal Process., 2021)

Robust spatial time-frequency distributions for DOA estimation using spatial averaging and directional smoothing. - Nabeel Ali Khan; Sadiq Ali (Signal Process., 2021)

An efficient IF estimation algorithm for both mono- and multi-sensor recordings. - Nabeel Ali Khan; Sadiq Ali (Signal Image Video Process., 2021)

Direction of Arrival Estimation by Combining Robust Spatial Time-Frequency Distributions and Spatial Filtering. - Nabeel Ali Khan; Sadiq Ali (Circuits Syst. Signal Process., 2022)

Robust sparse reconstruction of signals with gapped missing samples from multi-sensor recordings. - Nabeel Ali Khan; Sadiq Ali (Digit. Signal Process., 2022)

Missing samples reconstruction using an efficient and robust instantaneous frequency estimation algorithm. - Sadiq Ali; Nabeel Ali Khan (Turkish J. Electr. Eng. Comput. Sci., 2022)

An Efficient and Accurate Multi-Sensor IF Estimator Based on DOA Information and Order of Fractional Fourier Transform. - Nabeel Ali Khan; Sadiq Ali; Kwonhue Choi (Entropy, 2022)

Convolutional Neural Networks Based Time-Frequency Image Enhancement For the Analysis of EEG Signals. - Nabeel Ali Khan; Mokhtar Mohammadi; Mubeen Ghafoor; Syed Ali Tariq (Multidimens. Syst. Signal Process., 2022)

Correction to: Convolutional neural networks based time-frequency image enhancement for the analysis of EEG signals. - Nabeel Ali Khan; Mokhtar Mohammadi; Mubeen Ghafoor; Syed Ali Tariq (Multidimens. Syst. Signal Process., 2022)

Modified Time-Frequency Marginal Features for Detection of Seizures in Newborns. - Nabeel Ali Khan; Sadiq Ali; Kwonhue Choi (Sensors, 2022)

Reconstruction of gapped missing samples based on instantaneous frequency and instantaneous amplitude estimation. - Nabeel Ali Khan; Sadiq Ali (Signal Process., 2022)

ADTFD-RANSAC For multi-component IF estimation. - Nabeel Ali Khan; Igor Djurovic (Signal Process., 2022)

Iterative missing data recovery algorithm for non-stationary signals. - Nabeel Ali Khan; Naveed Razzaq Butt; Andreas Jakobsson (Signal Image Video Process., 2022)

Iterative adaptive directional time-frequency distribution for both mono-sensor and multi-sensor recordings. - Nabeel Ali Khan (Signal Image Video Process., 2023)

IF estimation in multi-sensor scenario with unknown sensor array geometry. - Nabeel Ali Khan; Sadiq Ali (Signal Process., 2023)

A Rule-Based Classifier to Detect Seizures in EEG Signals. - Nabeel Ali Khan; Mokhtar Mohammadi; Kwonhue Choi (Circuits Syst. Signal Process., 2023)

Multi-sensor random sample consensus for instantaneous frequency estimation of multi-component signals. - Nabeel Ali Khan; Sadiq Ali (Digit. Signal Process., 2023)