Mel filter-like admissible wavelet packet structure for speech recognition O Farooq, S Datta Signal Processing Letters, IEEE 8 (7), 196-198, 2001 | 225 | 2001 |
Automated seizure detection in scalp EEG using multiple wavelet scales YU Khan, N Rafiuddin, O Farooq 2012 IEEE International conference on Signal Processing, Computing and …, 2012 | 157 | 2012 |
Digital Watermarking of ECG Data for Secure Wireless Commuication S Kaur, O Farooq, R Singhal, BS Ahuja Recent Trends in Information, Telecommunication and Computing (ITC), 2010 …, 2010 | 109 | 2010 |
A Wavelet-Statistical Features Approach for Nonconvulsive Seizure Detection P Sharma, YU Khan, O Farooq, M Tripathi, H Adeli Clinical EEG and Neuroscience 45 (October 2014), 274-284, 2014 | 98 | 2014 |
Automatic Seizure Detection Based on Morphological Features Using One-Dimensional Local Binary Pattern on Long-Term EEG PPM Shanir, KA Khan, YU Khan, O Farooq, H Adeli Clinical EEG and Neuroscience 49 (5), 351-362, 2018 | 92 | 2018 |
Feature extraction and classification of EEG for automatic seizure detection N Rafiuddin, YU Khan, O Farooq 2011 International Conference on Multimedia, Signal Processing and …, 2011 | 88 | 2011 |
Automatic detection of seizure onset in pediatric EEG YU Khan, O Farooq, P Sharma International Joural of Embeded Systems and Applications 2 (3), 81-89, 2012 | 84 | 2012 |
A hybrid Local Binary Pattern and wavelets based approach for EEG classification for diagnosing epilepsy KA Khan, PP Shanir, YU Khan, O Farooq Expert Systems with Applications 140, 112895, 2020 | 78 | 2020 |
Phoneme recognition using wavelet based features O Farooq, S Datta Information Sciences 150 (1), 5-15, 2003 | 76 | 2003 |
Wavelet based robust sub-band features for phoneme recognition O Farooq, S Datta Vision, Image and Signal Processing, IEE Proceedings- 151 (3), 187-193, 2004 | 68 | 2004 |
Wavelet based features for epileptic seizure detection T Fathima, M Bedeeuzzaman, O Farooq, YU Khan MES Journal of Technology and Management 2 (1), 108-112, 2011 | 66 | 2011 |
Detection of Seizure Event and Its Onset/Offset Using Orthonormal Triadic Wavelet Based Features G Chandel, P Upadhyaya, O Farooq, YU Khan IRBM 40 (2), 103-112, 2019 | 54 | 2019 |
Selection of Features and Classifiers for EMG-EEG-Based Upper Limb Assistive Devices-A Review. SM Khan, AA Khan, O Farooq IEEE Reviews in Biomedical Engineering 13, 248-260, 2020 | 52 | 2020 |
Seizure prediction using statistical dispersion measures of intracranial EEG M Bedeeuzzaman, T Fathima, YU Khan, O Farooq Biomedical Signal Processing and Control 10, 338-341, 2014 | 51 | 2014 |
Automatic seizure detection using higher order moments M Bedeeuzzaman V., O Farooq, YU Khan Recent Trends in Information, Telecommunication and Computing (ITC), 2010 …, 2010 | 47 | 2010 |
CHAOS BASED MIXED KEYSTREAM GENERATION FOR VOICE DATA ENCRYPTION M Ahmad, B Alam, O Farooq International Journal on Cryptography and Information Security (IJCIS) 2 (1 …, 2012 | 43 | 2012 |
Hybrid wavelet based LPC features for Hindi speech recognition A Sharma, MC Shrotriya, O Farooq, ZA Abbasi International Journal of Information and Communication Technology 1 (3), 373-381, 2008 | 39 | 2008 |
Continuous hindi speech recognition model based on kaldi asr toolkit P Upadhyaya, O Farooq, MR Abidi, YV Varshney 2017 International Conference on Wireless Communications, Signal Processing …, 2017 | 37 | 2017 |
Wavelet-based denoising for robust feature extraction for speech recognition O Farooq, S Datta Electronics Letters 39 (1), 163-165, 2003 | 35 | 2003 |
Patient-Specific Epileptic Seizure Prediction in Long-Term Scalp EEG Signal Using Multivariate Statistical Process Control S Rukhsar, YU Khan, O Farooq, M Sarfraz, AT Khan IRBM 40 (6), 320-331, 2019 | 34 | 2019 |