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Meisam Khalil Arjmandi
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2020 – today
- 2020
- [j8]Hamzeh Ghasemzadeh, Meisam Khalil Arjmandi:
Toward Optimum Quantification of Pathology-Induced Noises: An Investigation of Information Missed by Human Auditory System. IEEE ACM Trans. Audio Speech Lang. Process. 28: 519-528 (2020)
2010 – 2019
- 2019
- [c1]Matthew Lehet, Meisam Khalil Arjmandi, Laura Dilley:
Evidence for a 30-million-word gap across language environments of children with cochlear implants. CogSci 2019: 3509 - 2018
- [j7]Hamzeh Ghasemzadeh, Meisam Khalil Arjmandi:
Optimum solution and evaluation of rectangular jigsaw puzzles based on branch and bound method and combinatorial accuracy. Multim. Tools Appl. 77(6): 6837-6861 (2018) - 2017
- [j6]Hamzeh Ghasemzadeh, Meisam Khalil Arjmandi:
Universal audio steganalysis based on calibration and reversed frequency resolution of human auditory system. IET Signal Process. 11(8): 916-922 (2017) - [i1]Hamzeh Ghasemzadeh, Meisam Khalil Arjmandi:
Universal Audio Steganalysis Based on Calibration and Reversed Frequency Resolution of Human Auditory System. CoRR abs/1701.05614 (2017) - 2016
- [j5]Hamzeh Ghasemzadeh, Mehdi Tajik Khass, Meisam Khalil Arjmandi:
Audio steganalysis based on reversed psychoacoustic model of human hearing. Digit. Signal Process. 51: 133-141 (2016) - 2015
- [j4]Ali Akbari, Meisam Khalil Arjmandi:
Employing linear prediction residual signal of wavelet sub-bands in automatic detection of laryngeal pathology. Biomed. Signal Process. Control. 18: 293-302 (2015) - [j3]Hamzeh Ghasemzadeh, Mehdi Tajik Khass, Meisam Khalil Arjmandi, Mohammad Pooyan:
Detection of vocal disorders based on phase space parameters and Lyapunov spectrum. Biomed. Signal Process. Control. 22: 135-145 (2015) - 2014
- [j2]Ali Akbari, Meisam Khalil Arjmandi:
An efficient voice pathology classification scheme based on applying multi-layer linear discriminant analysis to wavelet packet-based features. Biomed. Signal Process. Control. 10: 209-223 (2014) - 2012
- [j1]Meisam Khalil Arjmandi, Mohammad Pooyan:
An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine. Biomed. Signal Process. Control. 7(1): 3-19 (2012)
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