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ORCIDGhasem Azemi
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2020 – today
- 2024
[j21]Parya Tavoosi, Ghasem Azemi
, Paul F. Sowman:
Decoding of auditory surprise in adult magnetoencephalography data using Bayesian models. Digit. Signal Process. 148: 104450 (2024)- 2022
- [j20]Parya Tavoosi, Fereshteh Haghi, Pega Zarjam, Ghasem Azemi:
Fetal ECG Extraction from Sparse Representation of Multichannel Abdominal Recordings. Circuits Syst. Signal Process. 41(4): 2027-2044 (2022) - 2021
- [j19]Ali Kareem Abbas, Ghasem Azemi, Samin Ravanshadi, Amir H. Omidvarnia:
An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure. Biomed. Signal Process. Control. 63: 102229 (2021) - [j18]Ali Kareem Abbas, Ghasem Azemi, Sajad Amiri, Samin Ravanshadi, Amir H. Omidvarnia:
Effective connectivity in brain networks estimated using EEG signals is altered in children with ADHD. Comput. Biol. Medicine 134: 104515 (2021) - [j17]Mohammad H. Aghababaei, Ghasem Azemi, John M. O'Toole:
Detection of epileptic seizures from compressively sensed EEG signals for wireless body area networks. Expert Syst. Appl. 172: 114630 (2021) - 2020
- [j16]Mohammad H. Aghababaei, Ghasem Azemi:
A modified row-sparse multiple measurement vector recovery algorithm for reconstructing multichannel EEG signals from compressive measurements. Biomed. Signal Process. Control. 60: 101956 (2020)
2010 – 2019
- 2019
- [j15]Payam Shahsavari Baboukani, Ghasem Azemi, Boualem Boashash, Paul B. Colditz, Amir H. Omidvarnia:
A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis. Digit. Signal Process. 84: 59-68 (2019) - 2017
- [j14]Parisa Mirzaei, Ghasem Azemi, Natia Japaridze, Boualem Boashash:
Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study. Digit. Signal Process. 70: 30-38 (2017) - 2015
- [j13]Boualem Boashash, Ghasem Azemi, Nabeel Ali Khan:
Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection. Pattern Recognit. 48(3): 616-627 (2015) - 2014
- [j12]Shiying Dong, Ghasem Azemi, Boualem Boashash:
Improved characterization of HRV signals based on instantaneous frequency features estimated from quadratic time-frequency distributions with data-adapted kernels. Biomed. Signal Process. Control. 10: 153-165 (2014) - [j11]Boualem Boashash, Ghasem Azemi:
A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG. Digit. Signal Process. 28: 28-38 (2014) - [j10]Shiying Dong, Boualem Boashash, Ghasem Azemi, Barbara Lingwood, Paul B. Colditz:
Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features. Medical Biol. Eng. Comput. 52(2): 183-191 (2014) - [j9]Amir H. Omidvarnia, Ghasem Azemi, Boualem Boashash, John M. O'Toole, Paul B. Colditz, Sampsa Vanhatalo:
Measuring Time-Varying Information Flow in Scalp EEG Signals: Orthogonalized Partial Directed Coherence. IEEE Trans. Biomed. Eng. 61(3): 680-693 (2014) - [j8]Ehsan Zandi, Ghasem Azemi:
Estimating the scattering distribution of the received signals in multipath fading channels. Telecommun. Syst. 57(4): 337-345 (2014) - [c22]Siamak Layeghy, Ghasem Azemi, Paul B. Colditz, Boualem Boashash:
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry. ICASSP 2014: 4379-4383 - 2013
- [j7]Amir H. Omidvarnia, Ghasem Azemi, Paul B. Colditz, Boualem Boashash:
A time-frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals. Digit. Signal Process. 23(3): 780-790 (2013) - [j6]Amir H. Omidvarnia, Ghasem Azemi, John M. O'Toole, Boualem Boashash:
Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution. Signal Process. 93(11): 3251-3260 (2013) - [j5]Boualem Boashash, Ghasem Azemi, John M. O'Toole:
Time-Frequency Processing of Nonstationary Signals: Advanced TFD Design to Aid Diagnosis with Highlights from Medical Applications. IEEE Signal Process. Mag. 30(6): 108-119 (2013) - [c21]Shiying Dong, Boualem Boashash, Ghasem Azemi, Barbara Lingwood, Paul B. Colditz:
Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals. ICASSP 2013: 939-943 - 2012
- [j4]Boualem Boashash, Larbi Boubchir, Ghasem Azemi:
A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals. EURASIP J. Adv. Signal Process. 2012: 117 (2012) - [c20]Amir H. Omidvarnia, Boualem Boashash, Ghasem Azemi, Paul B. Colditz, Sampsa Vanhatalo:
Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysis. ICASSP 2012: 3417-3420 - [c19]Amir H. Omidvarnia, Ghasem Azemi, Boualem Boashash, John M. O'Toole, Paul B. Colditz, Sampsa Vanhatalo:
Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEG. ICONIP (2) 2012: 683-691 - [c18]Amir H. Omidvarnia, Sampsa Vanhatalo, Mostefa Mesbah, Ghasem Azemi, Paul B. Colditz, Boualem Boashash:
Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG. ISSPA 2012: 274-279 - [c17]Boualem Boashash, Larbi Boubchir, Ghasem Azemi:
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach. ISSPA 2012: 280-285 - [c16]Maryam Odabaee, Siamak Layeghy, Mostefa Mesbah, Ghasem Azemi, Boualem Boashash, Paul B. Colditz, Sampsa Vanhatalo:
EEG amplitude and correlation spatial decay analysis for neonatal head modelling. ISSPA 2012: 882-887 - [c15]Shiying Dong, Ghasem Azemi, Barbara Lingwood, Paul B. Colditz, Boualem Boashash:
Performance evaluation of multi-component instantaneous frequency estimation techniques for heart rate variability analysis. ISSPA 2012: 1211-1216 - 2011
- [c14]Boualem Boashash, Larbi Boubchir, Ghasem Azemi:
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities. ISSPIT 2011: 120-129
2000 – 2009
- 2009
- [j3]Alireza Naimi, Ghasem Azemi:
K-factor estimation in shadowed Ricean mobile communication channels. Wirel. Commun. Mob. Comput. 9(10): 1379-1386 (2009) - [c13]Ghasem Azemi, Siamak Nasseh:
Doppler Spread Estimation in Mobile Communication Systems Using the Ambiguity Function of the Received Signals. VTC Fall 2009 - [c12]Ehsan Zandi, Ghasem Azemi:
IF-Based Velocity Estimation in Micro-Cellular Systems with Non-isotropic Scattering Distribution. VTC Fall 2009 - 2008
- [c11]Ehsan Zandi, Ghasem Azemi:
Estimating the scattering distribution of the received signal in micro-cellular systems. EUSIPCO 2008: 1-4 - 2007
- [c10]Alireza Naimi, Ghasem Azemi:
Moment-based Ricean K-factor estimation in the presence of shadowing. ISSPA 2007: 1-4 - 2005
- [c9]Pega Zarjam, Ghasem Azemi, Boualem Boashash:
Neonates' EEG spike detection using a time-frequency approach. ISSPA 2005: 183-186 - [c8]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Estimating the velocity of mobile stations in macro-cellular systems using the ACF of the received signal IF. ISSPA 2005: 831-834 - 2004
- [j2]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Ricean K-factor estimation in mobile communication systems. IEEE Commun. Lett. 8(10): 617-619 (2004) - [j1]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Mobile unit velocity estimation based on the instantaneous frequency of the received signal. IEEE Trans. Veh. Technol. 53(3): 716-724 (2004) - [c7]Pega Zarjam, Ghasem Azemi, Mostefa Mesbah, Boualem Boashash:
Detection of newborns' EEG seizure using time-frequency divergence measures. ICASSP (5) 2004: 429-432 - 2003
- [c6]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
A novel estimator for the velocity of a mobile station in a micro-cellular system. ISCAS (2) 2003: 212-215 - [c5]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Mobile unit velocity estimation in microcellular systems using the ZCR of the instantaneous frequency of the received signal. ISSPA (1) 2003: 289-292 - [c4]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Estimating the Ricean K-factor for mobile communication applications. ISSPA (2) 2003: 311-314 - 2002
- [c3]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Instantaneous frequency estimation of frequency modulated signals in the presence of multiplicative and additive noise: Application to mobile communication systems. EUSIPCO 2002: 1-4 - 2001
- [c2]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Estimation of the velocity of mobile units in microcellular systems using the instantaneous frequency of the received signals. ICASSP 2001: 1025-1028 - [c1]Ghasem Azemi, Bouchra Senadji, Boualem Boashash:
Velocity estimation in cellular systems based on the time-frequency characteristics of the received signal. ISSPA 2001: 509-512
Coauthor Index
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