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2018
Bouguerra F, Saidi L. An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information TechnologyJournal of Telecommunications and Information Technology. 2018.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancellation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information Technology (JTIT)Journal of Telecommunications and Information Technology (JTIT). 2018;8 :75-80.Abstract
High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network’s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers. © 2018 National Institute of Telecommunications. All rights reserved.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancellation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information Technology (JTIT)Journal of Telecommunications and Information Technology (JTIT). 2018;8 :75-80.Abstract
High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network’s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers. © 2018 National Institute of Telecommunications. All rights reserved.
Abdelkader H, Belkaid F, Bennekrouf M. Efficient Approach for Parallel Machine Scheduling Problem. International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 2018.
Abdelkader H, Belkaid F, Bennekrouf M. Efficient Approach for Parallel Machine Scheduling Problem. International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 2018.
Abdelkader H, Belkaid F, Bennekrouf M. Efficient Approach for Parallel Machine Scheduling Problem. International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 2018.
Guezouli L, Bensakhria M, Abdelhamid S. Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows. International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC). 2018;9 :1-16.
Guezouli L, Bensakhria M, Abdelhamid S. Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows. International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC). 2018;9 :1-16.
Guezouli L, Bensakhria M, Abdelhamid S. Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows. International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC). 2018;9 :1-16.
Abderrahmane M. Elaboration and characterization byb ellipsometry of thin layers of silicon dioxide. 2018.
Nassima B. Elaboration of Al-Bent, Fe-Bent, CTAB Bent,, AL-CTAB-Bent and Fe-CTAB-Bent from algerian Bentonite clay to adsorb cationic textiles dyes. International Water Forum Conference, 19-21 Mars. 2018.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Larbi GUEZOULI, Roumaissa HACHANI, Sara HERRI. Embedding watermark in the magnitude matrix of the DFT of image. Proceedings of the 2018 International Conference on Computing and Pattern Recognition. 2018 :106-110.
Larbi GUEZOULI, Roumaissa HACHANI, Sara HERRI. Embedding watermark in the magnitude matrix of the DFT of image. Proceedings of the 2018 International Conference on Computing and Pattern Recognition. 2018 :106-110.
Larbi GUEZOULI, Roumaissa HACHANI, Sara HERRI. Embedding watermark in the magnitude matrix of the DFT of image. Proceedings of the 2018 International Conference on Computing and Pattern Recognition. 2018 :106-110.
MESMOUDI K, BOURNET PE, BRIMA A, BENMOUSSA H. Empirical Model for Predicting the Inside Air Temperature of a Naturally Ventilated green house with Tomato Crop. Under Hot and Arid Climates. Revue des Energies RenouvelablesUnder Hot and Arid Climates. Revue des Energies Renouvelables. 2018;Vol. 20.

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