Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Bousbia, Salah"'
Publikováno v:
2022 7th International Conference on Image and Signal Processing and their Applications (ISPA).
Publikováno v:
2022 7th International Conference on Image and Signal Processing and their Applications (ISPA).
Publikováno v:
2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI).
Publikováno v:
2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI).
Publikováno v:
2019 6th International Conference on Image and Signal Processing and their Applications (ISPA).
Epilepsy is a common neurological disease that is characterized by the recurrence of seizures. Electroencephalogram (EEG) signals are widely used to diagnose epilepsy. This paper presents an automated diagnostic method for epileptic detection using g
Publikováno v:
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting.
In this paper, we propose a novel algorithm based on the concept of Forward-Backward (FB) compressing sensing principle for underground mm-wave channel estimation. The efficiency of FB approach is successfully verified in the context of MIMO orthogon
Publikováno v:
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting.
This paper addresses the problem of semi-blind automatic digital modulation recognition (AMR) for wireless relaying network. The proposed recognition approach is based on a simplified Distributed Space-Time Block Coding (D-STBC) scheme for a three-no
Publikováno v:
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting.
Multiple-antenna techniques constitute a key technology for modern wireless communications, which establishes a trade-off between the data reliability and the data rate, and which may result in an increased system complexity and cost. Among the many
Publikováno v:
2018 International Conference on Signal, Image, Vision and their Applications (SIVA).
The Electroencephalogram(EEG) is a representative signal enclosing information about the function of the brain. EEG signals can be utilized to study an automatic diagnosis of epilepsy. This later is characterized by a spontaneous and an unexpected th
Publikováno v:
2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).
This paper deals with feature selection for electroencephalogram (EEG) signal classification. The wavelet packet transform (WPT) technique is used to decompose EEG signals. Then, features are computed and extracted from different wavelet packet coeff