| Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study B Boashash, S Ouelha Knowledge-Based Systems 106, 38-50, 2016 | 139 | 2016 |
| Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of … B Boashash, S Ouelha Digital Signal Processing 77, 120-152, 2018 | 71 | 2018 |
| An improved design of high-resolution quadratic time–frequency distributions for the analysis of nonstationary multicomponent signals using directional compact kernels B Boashash, S Ouelha IEEE Transactions on Signal Processing 65 (10), 2701-2713, 2017 | 70 | 2017 |
| Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection B Boashash, H Barki, S Ouelha Knowledge-Based Systems 132, 188-203, 2017 | 36 | 2017 |
| Improving DOA estimation algorithms using high-resolution quadratic time-frequency distributions S Ouelha, A Aissa-El-Bey, B Boashash IEEE Transactions on Signal Processing 65 (19), 5179-5190, 2017 | 36 | 2017 |
| A robust high-resolution time–frequency representation based on the local optimization of the short-time fractional Fourier transform MA Awal, S Ouelha, S Dong, B Boashash Digital Signal Processing 70, 125-144, 2017 | 32 | 2017 |
| An efficient inverse short-time Fourier transform algorithm for improved signal reconstruction by time-frequency synthesis: Optimality and computational issues S Ouelha, S Touati, B Boashash Digital Signal Processing 65, 81-93, 2017 | 30 | 2017 |
| Efficient software platform TFSAP 7.1 and Matlab package to compute Time–Frequency Distributions and related Time-Scale methods with extraction of signal characteristics B Boashash, S Ouelha SoftwareX 8, 48-52, 2018 | 19 | 2018 |
| Refining the ambiguity domain characteristics of non-stationary signals for improved time–frequency analysis: test case of multidirectional and multicomponent piecewise LFM and … B Boashash, BK Jawad, S Ouelha Digital Signal Processing 83, 367-382, 2018 | 12 | 2018 |
| An improved time–frequency noise reduction method using a psycho-acoustic Mel model S Ouelha, A Aïssa-El-Bey, B Boashash Digital Signal Processing 79, 199-212, 2018 | 8 | 2018 |
| On time-frequency representations for underwater acoustic signal P Courmontagne, S Ouelha, F Chaillan 2012 Oceans, 1-9, 2012 | 8 | 2012 |
| Time-frequency diagnosis, condition monitoring, and fault detection EJ Powers, YJ Shin, W Mack Grady, JF Böhme, S Carstens-Behrens, ... Elsevier Inc., 2016 | 7 | 2016 |
| Timefrequency signal analysis and processing: a comprehensive reference K Abed-Meraım, A Belouchrani, R Leyman chapter in “Blind source separation using time-frequency distributions, 2003 | 6 | 2003 |
| A new way for underwater acoustic signal analysis: The morphological filtering U Moreaud, P Courmontagne, F Chaillan, JR Mesquida, S Ouelha OCEANS 2015-Genova, 1-9, 2015 | 5 | 2015 |
| Time-frequency methods in radar, sonar, and acoustics SL Marple Jr, S Barbarossa, BG Ferguson, KW Lo, GJ Frazer, B Boashash, ... Elsevier Inc., 2016 | 4 | 2016 |
| Time-frequency synthesis and filtering F Hlawatsch, G Matz, B Boashash, S Ouelha, S Stanković, H Hassanpour Elsevier Inc., 2016 | 4 | 2016 |
| Underwater acoustic signal denoising Using multi-directionnals masks on time-frequency representation U Moreaud, P Courmontagne, S Ouelha, F Chaillan, JR Mesquida OCEANS 2014-TAIPEI, 1-8, 2014 | 3 | 2014 |
| A blind denoising process with applications to underwater acoustic signals P Courmontagne, S Ouelha, U Moreaud, F Chaillan 2013 OCEANS-San Diego, 1-7, 2013 | 3 | 2013 |
| Représentation et reconnaissance des signaux acoustiques sous-marins S Ouelha Université de Toulon, 2014 | 2 | 2014 |
| Extension of maximal marginal diversity based feature selection applied to underwater acoustic data S Ouelha, JR Mesquida, F Chaillan, P Courmontagne 2013 OCEANS-San Diego, 1-5, 2013 | 2 | 2013 |
Prof Boualem BoashashEmeritus Professor, UQCCR, The University of Queensland, Brisbane, AustraliaAdresse e-mail validée de uq.edu.au
