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Prof. Dr. abdelmalik taleb-ahmed
Laboratory of IEMN DOAE. UMR CNRS 852, University of Valenciennes, 59313 Valenciennes, France

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0 Data Fusion
0 Face Recognition
0 Machine Learning
0 Medical Imaging
0 Speech Processing

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Medical Imaging
Face Recognition

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Review
Published: 21 July 2020
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Face recognition is one of the most active research fields of computer vision and pattern recognition, with many practical and commercial applications including identification, access control, forensics, and human-computer interactions. However, identifying a face in a crowd raises serious questions about individual freedoms and poses ethical issues. Significant methods, algorithms, approaches, and databases have been proposed over recent years to study constrained and unconstrained face recognition. 2D approaches reached some degree of maturity and reported very high rates of recognition. This performance is achieved in controlled environments where the acquisition parameters are controlled, such as lighting, angle of view, and distance between the camera-subject. However, if the ambient conditions (e.g., lighting) or the facial appearance (e.g., pose or facial expression) change, this performance will degrade dramatically. 3D approaches were proposed as an alternative solution to the problems mentioned above. The advantage of 3D data lies in its invariance to pose and lighting conditions, which has enhanced recognition systems efficiency. 3D data, however, is somewhat sensitive to changes in facial expressions. This review presents the history of face recognition technology, the current state-of-the-art methodologies, and future directions. We specifically concentrate on the most recent databases, 2D and 3D face recognition methods. Besides, we pay particular attention to deep learning approach as it presents the actuality in this field. Open issues are examined and potential directions for research in facial recognition are proposed in order to provide the reader with a point of reference for topics that deserve consideration.

ACS Style

Insaf Adjabi; Abdeldjalil Ouahabi; Amir Benzaoui; Abdelmalik Taleb-Ahmed. Past, Present, and Future of Face Recognition: A Review. 2020, 1 .

AMA Style

Insaf Adjabi, Abdeldjalil Ouahabi, Amir Benzaoui, Abdelmalik Taleb-Ahmed. Past, Present, and Future of Face Recognition: A Review. . 2020; ():1.

Chicago/Turabian Style

Insaf Adjabi; Abdeldjalil Ouahabi; Amir Benzaoui; Abdelmalik Taleb-Ahmed. 2020. "Past, Present, and Future of Face Recognition: A Review." , no. : 1.

Article
Published: 17 July 2020 in Multimedia Tools and Applications
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In recent times, the topic of human facial age estimation attracted much attention. This is due to its ability to improve biometrics systems. Recently, several applications that are based on the demographic attributes estimation have been developed. These include law enforcement, re-identification in videos, planed marketing, intelligent advertising, social media, and human-computer interaction. The main contributions of the paper are as follows. Firstly, it extends some handcrafted models that are based on the Pyramid Multi Level (PML) face representation. Secondly, it evaluates the performance of two different kinds of features that are handcrafted and deep features. It compares handcrafted and deep features in terms of accuracy and computational complexity. The proposed scheme of study includes the following three main steps: 1) face preprocessing; 2) feature extraction (two different kinds of features are studied: handcrafted and deep features); 3) feeding the obtained features to a linear regressor. In addition, we investigate the strengths and weaknesses of handcrafted and deep features when used in facial age estimation. Experiments are run on three public databases (FG-NET, PAL and FACES). These experiments show that both handcrafted and deep features are effective for facial age estimation.

ACS Style

Se. Bekhouche; F. Dornaika; A. Benlamoudi; A. Ouafi; A. Taleb-Ahmed. A comparative study of human facial age estimation: handcrafted features vs. deep features. Multimedia Tools and Applications 2020, 79, 1 -18.

AMA Style

Se. Bekhouche, F. Dornaika, A. Benlamoudi, A. Ouafi, A. Taleb-Ahmed. A comparative study of human facial age estimation: handcrafted features vs. deep features. Multimedia Tools and Applications. 2020; 79 (35-36):1-18.

Chicago/Turabian Style

Se. Bekhouche; F. Dornaika; A. Benlamoudi; A. Ouafi; A. Taleb-Ahmed. 2020. "A comparative study of human facial age estimation: handcrafted features vs. deep features." Multimedia Tools and Applications 79, no. 35-36: 1-18.

Article
Published: 05 June 2020 in Multimedia Tools and Applications
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In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we proposed a multimodal 2D + 3D face verification system based on Multilinear Discriminant Analysis MDA integrating Within Class Covariance Normalization WCCN technique. Histograms of local descriptor applied to features extraction from 2D and 3D face images are concatenated and organized as a tensor design. This tensor is then reduced and projected using MDA technique into a lower subspace. WCCN technique is used to reduce the effect of the intra class directions using normalisation transform and to enhance the discrimination power of the MDA. Our experiments were carried out on the three biggest databases: FRGC v2.0, Bosphorus and CASIA 3D under expressions, occlusions and pose variations. Experimental results showed the superiority of the proposed approach in term of verification rate when compared to the state of the art method.

ACS Style

Adel Saoud; Abdelmalik Oumane; Abdelkrim Ouafi; Abdelmalik Taleb-Ahmed. Multimodal 2d + 3d multi-descriptor tensor for face verification. Multimedia Tools and Applications 2020, 79, 23071 -23092.

AMA Style

Adel Saoud, Abdelmalik Oumane, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed. Multimodal 2d + 3d multi-descriptor tensor for face verification. Multimedia Tools and Applications. 2020; 79 (31-32):23071-23092.

Chicago/Turabian Style

Adel Saoud; Abdelmalik Oumane; Abdelkrim Ouafi; Abdelmalik Taleb-Ahmed. 2020. "Multimodal 2d + 3d multi-descriptor tensor for face verification." Multimedia Tools and Applications 79, no. 31-32: 23071-23092.

Short communication
Published: 28 April 2020 in Expert Systems with Applications
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In this paper, we propose combining between the transformed hand-crafted and deep features using PCA to recognize the six-basic facial expressions from static images. To evaluate our approach, we use three popular databases (CK+, CASIA and MMI). We introduce the use of the Pyramid Multi Level (PML) face representation for facial expression recognition. The hand-crafted features are obtained with such representations. Initially, we determine the optimal level of the PML features of three hand-crafted descriptors (HOG, LPQ and BSIF) using CK+, CASIA and MMI databases. After the optimal level of the PML is found for each descriptor, we combine them together with the transformed final VGG-face layers (FC6 and FC7) in order to get a compact image descriptor. In within-database experiments, our approach achieved higher accuracy than the state-of-art methods on both the CK+ and CASIA databases, and competitive result on the MMI database. Likewise, our approach outperformed the static methods in all six experiments of cross-databases.

ACS Style

F. Bougourzi; F. Dornaika; K. Mokrani; A. Taleb-Ahmed; Y. Ruichek. Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. Expert Systems with Applications 2020, 156, 113459 .

AMA Style

F. Bougourzi, F. Dornaika, K. Mokrani, A. Taleb-Ahmed, Y. Ruichek. Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. Expert Systems with Applications. 2020; 156 ():113459.

Chicago/Turabian Style

F. Bougourzi; F. Dornaika; K. Mokrani; A. Taleb-Ahmed; Y. Ruichek. 2020. "Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition." Expert Systems with Applications 156, no. : 113459.

Journal article
Published: 04 April 2019 in Journal of Visual Communication and Image Representation
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Automatic age estimation from face images is a topic of growing interest nowadays, because of its great value in various applications. The main challenge in automatic facial age estimation task comes from the large intra-class facial appearance variations due to both gender and race attributes. To this end, in this paper we propose a complete approach for age estimation based on demographic classification. The proposed approach consists of three main parts: 1) Automatic face detection and alignment to extract only the regions of interest. 2) Feature extraction from facial region images using Multi-level face representation. 3) Two-Stages age Estimation (TSE). The main idea of TSE is to classify the input face image into one of demographic classes, then estimate age within the identified demographic class. The experimental results demonstrate that our proposed approach can offer better performance for age estimation when compared to the state-of-the-art methods on MORPH-II, PAL and a subset of LFW databases.

ACS Style

Mohammed -En-Nadhir Zighem; Abdelkrim Ouafi; Athmane Zitouni; Yassine Ruichek; Abdelmalik Taleb-Ahmed. Two-stages based facial demographic attributes combination for age estimation. Journal of Visual Communication and Image Representation 2019, 61, 236 -249.

AMA Style

Mohammed -En-Nadhir Zighem, Abdelkrim Ouafi, Athmane Zitouni, Yassine Ruichek, Abdelmalik Taleb-Ahmed. Two-stages based facial demographic attributes combination for age estimation. Journal of Visual Communication and Image Representation. 2019; 61 ():236-249.

Chicago/Turabian Style

Mohammed -En-Nadhir Zighem; Abdelkrim Ouafi; Athmane Zitouni; Yassine Ruichek; Abdelmalik Taleb-Ahmed. 2019. "Two-stages based facial demographic attributes combination for age estimation." Journal of Visual Communication and Image Representation 61, no. : 236-249.

Journal article
Published: 15 March 2019 in Electronics
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Facial expression recognition (FER) has become one of the most important fields of research in pattern recognition. In this paper, we propose a method for the identification of facial expressions of people through their emotions. Being robust against illumination changes, this method combines four steps: Viola–Jones face detection algorithm, facial image enhancement using contrast limited adaptive histogram equalization (CLAHE) algorithm, the discrete wavelet transform (DWT), and deep convolutional neural network (CNN). We have used Viola–Jones to locate the face and facial parts; the facial image is enhanced using CLAHE; then facial features extraction is done using DWT; and finally, the extracted features are used directly to train the CNN network, for the purpose of classifying the facial expressions. Our experimental work was performed on the CK+ database and JAFFE face database. The results obtained using this network were 96.46% and 98.43%, respectively.

ACS Style

Ridha Ilyas Bendjillali; Mohammed Beladgham; Khaled Merit; Abdelmalik Taleb-Ahmed. Improved Facial Expression Recognition Based on DWT Feature for Deep CNN. Electronics 2019, 8, 324 .

AMA Style

Ridha Ilyas Bendjillali, Mohammed Beladgham, Khaled Merit, Abdelmalik Taleb-Ahmed. Improved Facial Expression Recognition Based on DWT Feature for Deep CNN. Electronics. 2019; 8 (3):324.

Chicago/Turabian Style

Ridha Ilyas Bendjillali; Mohammed Beladgham; Khaled Merit; Abdelmalik Taleb-Ahmed. 2019. "Improved Facial Expression Recognition Based on DWT Feature for Deep CNN." Electronics 8, no. 3: 324.

Journal article
Published: 14 January 2019 in Electronics
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The operations of digitization, transmission and storage of medical data, particularly images, require increasingly effective encoding methods not only in terms of compression ratio and flow of information but also in terms of visual quality. At first, there was DCT (discrete cosine transform) then DWT (discrete wavelet transform) and their associated standards in terms of coding and image compression. The 2nd-generation wavelets seeks to be positioned and confronted by the image and video coding methods currently used. It is in this context that we suggest a method combining bandelets and the SPIHT (set partitioning in hierarchical trees) algorithm. There are two main reasons for our approach: the first lies in the nature of the bandelet transform to take advantage of capturing the geometrical complexity of the image structure. The second reason is the suitability of encoding the bandelet coefficients by the SPIHT encoder. Quality measurements indicate that in some cases (for low bit rates) the performance of the proposed coding competes with the well-established ones (H.264 or MPEG4 AVC and H.265 or MPEG4 HEVC) and opens up new application prospects in the field of medical imaging.

ACS Style

Merzak Ferroukhi; Abdeldjalil Ouahabi; Mokhtar Attari; Yassine Habchi; Abdelmalik Taleb-Ahmed. Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation. Electronics 2019, 8, 88 .

AMA Style

Merzak Ferroukhi, Abdeldjalil Ouahabi, Mokhtar Attari, Yassine Habchi, Abdelmalik Taleb-Ahmed. Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation. Electronics. 2019; 8 (1):88.

Chicago/Turabian Style

Merzak Ferroukhi; Abdeldjalil Ouahabi; Mokhtar Attari; Yassine Habchi; Abdelmalik Taleb-Ahmed. 2019. "Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation." Electronics 8, no. 1: 88.

Preprint
Published: 07 October 2018
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The operations of digitization, transmission and storage of medical data, particularly images require increasingly effective encoding methods not only in terms of compression ratio and flow of information but also in terms of visual quality. At first, there was DCT (discrete cosine transform) then DWT (discrete wavelet transform) and their associated standards in terms of coding and image compression. After that, the 2nd generation wavelets seeks to be positioned and confronted to the image and video coding methods currently used. It is in this context that we suggested a method combining bandelets and SPIHT (set partitioning in hierarchical trees) algorithm. There are two main reasons for our approach: the first lies in the nature of the bandelet transform to take advantage by capturing the geometrical complexity of the image structure. The second reason stems in the suitability of encoding the bandelet coefficients by the SPIHT encoder. Quality measurements shows that in some cases (for low bit rates) the performances of the proposed coding compete with the well-established ones and opens up new application prospects in the field of medical imaging.

ACS Style

Merzak Ferroukhi; Abdeldjalil Ouahabi; Mokhtar Attari; Yacine Habchi; Mohamed Beladgham; Abdelmalik Taleb-Amed. Medical Video Coding Based on 2nd Generation Wavelets: Performance Evaluation. 2018, 1 .

AMA Style

Merzak Ferroukhi, Abdeldjalil Ouahabi, Mokhtar Attari, Yacine Habchi, Mohamed Beladgham, Abdelmalik Taleb-Amed. Medical Video Coding Based on 2nd Generation Wavelets: Performance Evaluation. . 2018; ():1.

Chicago/Turabian Style

Merzak Ferroukhi; Abdeldjalil Ouahabi; Mokhtar Attari; Yacine Habchi; Mohamed Beladgham; Abdelmalik Taleb-Amed. 2018. "Medical Video Coding Based on 2nd Generation Wavelets: Performance Evaluation." , no. : 1.

Journal article
Published: 06 April 2018 in Journal of Optical Communications
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In this paper, artificial neural network-based adaptive optimal threshold estimation for a two-dimensional optical code division multiple access conventional correlation receiver is proposed. A multilayer perceptron neural network with back-propagation learning algorithm is considered. This estimator uses the weight (w) and the length (F) of the code word, the number of active users (Ν) and the signal to noise ratio as inputs to estimate the required optimal threshold. We have evaluated the proposed approach on a data set of 46,200 samples. We have found that it gives accurate results: 0.029 for the root mean square error, 0.37% for the relative root mean square error and 99.984% for the correlation coefficient (R), which reflects the efficiency of the proposed optimal threshold estimator.

ACS Style

Abdelhalim Rabehi; Ali Djebbari; Ahmed Hafaifa; Abdelkerim Souahlia; Abdelmalik Taleb-Ahmed. New Structure of CCR with an AOANN Threshold. Journal of Optical Communications 2018, 42, 103 -109.

AMA Style

Abdelhalim Rabehi, Ali Djebbari, Ahmed Hafaifa, Abdelkerim Souahlia, Abdelmalik Taleb-Ahmed. New Structure of CCR with an AOANN Threshold. Journal of Optical Communications. 2018; 42 (1):103-109.

Chicago/Turabian Style

Abdelhalim Rabehi; Ali Djebbari; Ahmed Hafaifa; Abdelkerim Souahlia; Abdelmalik Taleb-Ahmed. 2018. "New Structure of CCR with an AOANN Threshold." Journal of Optical Communications 42, no. 1: 103-109.

Journal article
Published: 17 February 2018 in Journal of Optical Communications
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A new method for constructing optical zero-correlation zone (OZCZ) codes based on the Hadamard matrix and the concatenation operation is proposed. The most important property of the obtained codes is that the periodic correlation function of the proposed codes is zero for the phase shifts within the zero-correlation zone. The structure of the proposed OZCZ code is simple and their construction is more flexible. The proposed code is expected to be useful for reducing co-channel interference in optical code division multiple access system.

ACS Style

Benattou Fassi; Abdelmalik Taleb-Ahmed. A New Construction of Optical Zero-Correlation Zone Codes. Journal of Optical Communications 2018, 39, 359 -368.

AMA Style

Benattou Fassi, Abdelmalik Taleb-Ahmed. A New Construction of Optical Zero-Correlation Zone Codes. Journal of Optical Communications. 2018; 39 (3):359-368.

Chicago/Turabian Style

Benattou Fassi; Abdelmalik Taleb-Ahmed. 2018. "A New Construction of Optical Zero-Correlation Zone Codes." Journal of Optical Communications 39, no. 3: 359-368.

Journal article
Published: 01 December 2015 in Optik
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Combining non-binary LDPC codes and high order constellation, namely Bit-Interleaved Coded Modulation (BICM), is a simple but effective way to improve the bandwidth efficiency. Since the non-binary LDPC codes require soft decisions as the input information, the constellation has to provide soft information (log-likelihood ratio) to it. In this paper, a simplified algorithm to calculate LLR for binary code is applied for non-binary code, which will remarkably reduce the computational complexity, and has nearly no performance loss.

ACS Style

Latifa Mostari; Abdelmalik Taleb-Ahmed; Abdennacer Bounoua. Simplified soft output demapper for non-binary LDPC codes. Optik 2015, 126, 5074 -5076.

AMA Style

Latifa Mostari, Abdelmalik Taleb-Ahmed, Abdennacer Bounoua. Simplified soft output demapper for non-binary LDPC codes. Optik. 2015; 126 (24):5074-5076.

Chicago/Turabian Style

Latifa Mostari; Abdelmalik Taleb-Ahmed; Abdennacer Bounoua. 2015. "Simplified soft output demapper for non-binary LDPC codes." Optik 126, no. 24: 5074-5076.

Journal article
Published: 01 October 2015 in Pattern Recognition and Image Analysis
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ACS Style

A. Ouamane; A. Benakcha; M. Belahcene; A. Taleb-Ahmed. Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion. Pattern Recognition and Image Analysis 2015, 25, 603 -620.

AMA Style

A. Ouamane, A. Benakcha, M. Belahcene, A. Taleb-Ahmed. Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion. Pattern Recognition and Image Analysis. 2015; 25 (4):603-620.

Chicago/Turabian Style

A. Ouamane; A. Benakcha; M. Belahcene; A. Taleb-Ahmed. 2015. "Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion." Pattern Recognition and Image Analysis 25, no. 4: 603-620.

Journal article
Published: 22 January 2015 in International Journal of System Assurance Engineering and Management
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In order to calculate the branches metric in the maximum a posteriori algorithm of turbo decoder, it is mandatory to know the values of parameters of the noise contaminating the transmitted signal. In the case of a generalized Gaussian distribution impulsive noise, it is very difficult to estimate the shape parameter, because the noise is inseparable from transmitted signal at turbo decoder reception. Until now, few researches about shape parameter estimation for an impulsive noise on turbo codes have been presented, and existing estimation methods use only the high order statistics (HOS). In this paper, we propose a novel semi-blind method, that does not use the HOS, to estimate the shape parameter from only the received signal in the turbo decoder. This method is based on fractional lower order statistics and the probability that the received signal is the same sign as the transmitted signal modulated with BPSK. The results, in terms of root mean square error, show the advantage of our method over other methods using HOS in the case of impulsive noise.

ACS Style

Ali Chemsa; Djamel Saigaa; Hatem Ghodbane; Abdelmalik Taleb-Ahmed. Novel semi-blind estimation for turbo decoding in impulsive noise channel. International Journal of System Assurance Engineering and Management 2015, 8, 188 -197.

AMA Style

Ali Chemsa, Djamel Saigaa, Hatem Ghodbane, Abdelmalik Taleb-Ahmed. Novel semi-blind estimation for turbo decoding in impulsive noise channel. International Journal of System Assurance Engineering and Management. 2015; 8 (S1):188-197.

Chicago/Turabian Style

Ali Chemsa; Djamel Saigaa; Hatem Ghodbane; Abdelmalik Taleb-Ahmed. 2015. "Novel semi-blind estimation for turbo decoding in impulsive noise channel." International Journal of System Assurance Engineering and Management 8, no. S1: 188-197.

Journal article
Published: 16 November 2014 in Signal, Image and Video Processing
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In this work, we present a robust face authentication approach merging multiple descriptors and exploiting both 3D and 2D information. First, we correct the heads rotation in 3D by iterative closest point algorithm, followed by an efficient preprocessing phase. Then, we extract different features namely: multi-scale local binary patterns (MSLBP), novel statistical local features (SLF), Gabor wavelets, and scale invariant feature transform (SIFT). The principal component analysis followed by enhanced fisher linear discriminant model is used for dimensionality reduction and classification. Finally, fusion at the score level is carried out using two-class support vector machines. Extensive experiments are conducted on the CASIA 3D faces database. The evaluation of individual descriptors clearly showed the superiority of the proposed SLF features. In addition, applying the ( \(\hbox {3D} + \hbox {2D}\) ) multimodal score level fusion, the best result is obtained by combining the SLF with the \(\hbox {MSLBP}+\hbox {SIFT}\) descriptor yielding in an equal error rate of 0.98 % and a recognition rate of \(\hbox {RR} = 97.22\,\%\) .

ACS Style

A. Ouamane; M. Belahcene; A. Benakcha; S. Bourennane; A. Taleb-Ahmed. Robust multimodal 2D and 3D face authentication using local feature fusion. Signal, Image and Video Processing 2014, 10, 129 -137.

AMA Style

A. Ouamane, M. Belahcene, A. Benakcha, S. Bourennane, A. Taleb-Ahmed. Robust multimodal 2D and 3D face authentication using local feature fusion. Signal, Image and Video Processing. 2014; 10 (1):129-137.

Chicago/Turabian Style

A. Ouamane; M. Belahcene; A. Benakcha; S. Bourennane; A. Taleb-Ahmed. 2014. "Robust multimodal 2D and 3D face authentication using local feature fusion." Signal, Image and Video Processing 10, no. 1: 129-137.

Journal article
Published: 07 June 2014 in Arabian Journal for Science and Engineering
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Smart antenna systems are rapidly emerging as one of the key technologies that can enhance overall wireless communications system performance. The purpose of this paper is to develop a novel adaptive beamforming system from two adaptive algorithms that are known in the literature as spatial filters. Our adaptive beamforming algorithm is a combination of the direct matrix inversion (DMI) and the recursive least square (RLS). This combination is called DMI–RLS and is used to calculate iteratively the optimum weights of smart antenna array and to ensure a possible faster convergence. Simulation data used for a uniform linear array antenna as an application verifies the accuracy of the analytical results. The performance of the DMI–RLS algorithm is also compared with the conventional RLS algorithm ones. From the simulation results, we noticed that, in the main, the performances of the DMI–RLS algorithm are sturdier than those of the conventional RLS algorithm.

ACS Style

Aounallah Naceur; Bouziani Merahi; Taleb-Ahmed Abdelmalik. A Combined DMI–RLS Algorithm in Adaptive Processing Antenna System. Arabian Journal for Science and Engineering 2014, 39, 7109 -7116.

AMA Style

Aounallah Naceur, Bouziani Merahi, Taleb-Ahmed Abdelmalik. A Combined DMI–RLS Algorithm in Adaptive Processing Antenna System. Arabian Journal for Science and Engineering. 2014; 39 (10):7109-7116.

Chicago/Turabian Style

Aounallah Naceur; Bouziani Merahi; Taleb-Ahmed Abdelmalik. 2014. "A Combined DMI–RLS Algorithm in Adaptive Processing Antenna System." Arabian Journal for Science and Engineering 39, no. 10: 7109-7116.

Journal article
Published: 01 January 2014 in Communications and Network
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In this paper we propose a new class of ternary Zero Correlation Zone (ZCZ) sequence sets based on binary ZCZ sequence sets construction. It is shown that the proposed ternary ZCZ sequence sets can reach the upper bound on the ZCZ sequences. The performance of the proposed sequences set in asynchronous Direct Sequence-Code Division Multiple Access (DS-CDMA) system is evaluated. In the simulation we used two types of channels: Additive White Gaussian Noise (AWGN) and frequency non-selective fading with AWGN noise. The proposed ternary ZCZ sequence sets show better results, in term of Bit Error Rate (BER), than Hayashi’s ternary ZCZ sequence sets.

ACS Style

Benattou Fassi; Ali Djebbari; Abdelmalik Taleb-Ahmed. Ternary Zero Correlation Zone Sequence Sets for Asynchronous DS-CDMA. Communications and Network 2014, 06, 209 -217.

AMA Style

Benattou Fassi, Ali Djebbari, Abdelmalik Taleb-Ahmed. Ternary Zero Correlation Zone Sequence Sets for Asynchronous DS-CDMA. Communications and Network. 2014; 06 (04):209-217.

Chicago/Turabian Style

Benattou Fassi; Ali Djebbari; Abdelmalik Taleb-Ahmed. 2014. "Ternary Zero Correlation Zone Sequence Sets for Asynchronous DS-CDMA." Communications and Network 06, no. 04: 209-217.

Journal article
Published: 25 April 2012 in Multidimensional Systems and Signal Processing
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The minimum variance spectral estimator, also known as the Capon spectral estimator, is a high resolution spectral estimator used extensively in practice. In this paper, we derive a novel implementation of a very computationally demanding matched filter-bank based a spectral estimator, namely the multi-dimensional Capon spectral estimator. To avoid the direct computation of the inverse covariance matrix used to estimate the Capon spectrum which can be computationally very expensive, particularly when the dimension of the matrix is large, we propose to use the discrete Zhang neural network for the online covariance matrix inversion. The computational complexity of the proposed algorithm for one-dimensional (1-D), as well as for two-dimensional (2-D) and three-dimensional (3-D) data sequences is lower when a parallel implementation is used.

ACS Style

Abderrazak Benchabane; Abdelhak Bennia; Fella Charif; Abdelmalik Taleb-Ahmed. Multi-dimensional Capon spectral estimation using discrete Zhang neural networks. Multidimensional Systems and Signal Processing 2012, 24, 583 -598.

AMA Style

Abderrazak Benchabane, Abdelhak Bennia, Fella Charif, Abdelmalik Taleb-Ahmed. Multi-dimensional Capon spectral estimation using discrete Zhang neural networks. Multidimensional Systems and Signal Processing. 2012; 24 (3):583-598.

Chicago/Turabian Style

Abderrazak Benchabane; Abdelhak Bennia; Fella Charif; Abdelmalik Taleb-Ahmed. 2012. "Multi-dimensional Capon spectral estimation using discrete Zhang neural networks." Multidimensional Systems and Signal Processing 24, no. 3: 583-598.

Conference paper
Published: 01 January 2009 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper focuses on the autoconfiguration security problem in MANETs. We propose a new fully distributed IPv6 autoconfiguration scheme providing both security and robustness. Our solution introduces a new trust model based on a new concept of joint IP address and public key certificate, exploiting recently published Discrete Logarithm based threshold cryptographic tools. The proposed scheme solves all limitations of earlier approaches and seems to be a perfect solution for MANETs under strong advarsarial model.

ACS Style

Abdelhafid Abdelmalek; Mohamed Feham; Zohra Slimane; Abdelmalik Taleb-Ahmed. Joint IP Address and Public Key Certificate Trust Model for Mobile Ad Hoc Networks. Transactions on Petri Nets and Other Models of Concurrency XV 2009, 385 -390.

AMA Style

Abdelhafid Abdelmalek, Mohamed Feham, Zohra Slimane, Abdelmalik Taleb-Ahmed. Joint IP Address and Public Key Certificate Trust Model for Mobile Ad Hoc Networks. Transactions on Petri Nets and Other Models of Concurrency XV. 2009; ():385-390.

Chicago/Turabian Style

Abdelhafid Abdelmalek; Mohamed Feham; Zohra Slimane; Abdelmalik Taleb-Ahmed. 2009. "Joint IP Address and Public Key Certificate Trust Model for Mobile Ad Hoc Networks." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 385-390.