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Samir Ouelha
Samir Ouelha
College of Engineering, Qatar University, Qatar
Verified email at qu.edu.qa
Title
Cited by
Cited by
Year
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
1372016
Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison ofá…
B Boashash, S Ouelha
Digital Signal Processing 77, 120-152, 2018
712018
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
672017
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
362017
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
352017
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
322017
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
282017
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
192018
Refining the ambiguity domain characteristics of non-stationary signals for improved time–frequency analysis: test case of multidirectional and multicomponent piecewise LFM andá…
B Boashash, BK Jawad, S Ouelha
Digital Signal Processing 83, 367-382, 2018
122018
An improved time–frequency noise reduction method using a psycho-acoustic Mel model
S Ouelha, A A´ssa-El-Bey, B Boashash
Digital Signal Processing 79, 199-212, 2018
82018
Time-frequency diagnosis, condition monitoring, and fault detection
EJ Powers, YJ Shin, W Mack Grady, JF B÷hme, S Carstens-Behrens, ...
Elsevier Inc., 2016
72016
On time-frequency representations for underwater acoustic signal
P Courmontagne, S Ouelha, F Chaillan
2012 Oceans, 1-9, 2012
72012
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
62003
Time-frequency methods in radar, sonar, and acoustics
SL Marple Jr, S Barbarossa, BG Ferguson, KW Lo, GJ Frazer, B Boashash, ...
Elsevier Inc., 2016
42016
Time-frequency synthesis and filtering
F Hlawatsch, G Matz, B Boashash, S Ouelha, S Stanković, H Hassanpour
Elsevier Inc., 2016
42016
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
42015
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
32014
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
32013
ReprÚsentation et reconnaissance des signaux acoustiques sous-marins
S Ouelha
UniversitÚ de Toulon, 2014
22014
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
22013
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