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2020 – today
- 2024
[j16]Khaled Zebiri, Amar Mezache:
Quadruple-order statistics CFAR algorithm for Pareto type I environment. Signal Image Video Process. 18(3): 2857-2863 (2024)- [j15]Khaled Zebiri, Amar Mezache:
CFAR detection using two scale invariant functions in heterogeneous Weibull clutter. Signal Image Video Process. 18(10): 7285-7291 (2024) - 2023
- [j14]Taha Hocine Kerbaa
, Amar Mezache, Fulvio Gini, Maria S. Greco:
Multi-headed deep learning-based estimator for correlated-SIRV Pareto type II distributed clutter. EURASIP J. Adv. Signal Process. 2023(1): 81 (2023) - [j13]Khaled Zebiri, Amar Mezache:
Triple-order statistics-based CFAR detection for heterogeneous Pareto type I background. Signal Image Video Process. 17(4): 1105-1111 (2023) - [c14]Zakia Terki, Amar Mezache, Fouad Chebbara:
Analysis of CFAR Detection in a Pareto Type II Clutter with Multiple Pulses. NILES 2023: 55-58 - [c13]Zakia Terki, Amar Mezache, Fouad Chebbara:
Radar Clutter Modeling Based on CGIG and Mixture CGIG Distributions. NILES 2023: 59-62 - 2022
- [c12]Taha Hocine Kerbaa, Amar Mezache, Houcine Oudira:
Effect of Non-Integer Order Moments on Parameter Estimation of Pareto Distributed Clutter plus Noise. SSD 2022: 268-273 - [c11]Taha Hocine Kerbaa, Amar Mezache, Houcine Oudira:
On the Performance of GLRT-LTD CFAR Processor in Correlated Pareto Clutter Under Different Estimators. SSD 2022: 1086-1091 - 2021
- [j12]Khaled Zebiri, Amar Mezache:
Radar CFAR detection for multiple-targets situations for Weibull and log-normal distributed clutter. Signal Image Video Process. 15(8): 1671-1678 (2021) - [c10]Zakia Terki, Fouad Chebbara, Amar Mezache:
Analysis of non-coherent CFAR detectors in sea-clutter: A comparison. CIST 2021: 401-406 - 2020
- [j11]Nouh Guidoum, Faouzi Soltani, Amar Mezache:
Two novel radar detectors for spiky sea clutter with the presence of thermal noise and interfering targets. Turkish J. Electr. Eng. Comput. Sci. 28(3): 1599-1611 (2020) - [j10]Taha Hocine Kerbaa, Amar Mezache, Houcine Oudira:
Parameter Estimation in Radar K-Clutter Plus Noise Based on Otsu's Algorithm. Ingénierie des Systèmes d Inf. 25(3): 295-302 (2020)
2010 – 2019
- 2018
- [c9]Houcine Oudira, Amar Mezache, Aissa Chouder:
Solar Cell Parameters Extraction of Photovoltaic Module Using NeIder-Mead Optimization. CIST 2018: 455-459 - [c8]Amel Gouri, Amar Mezache, Houcine Oudira:
The Performance of Decentralized CFAR Detection Using Biogeography Based Optimization. CIST 2018: 460-465 - [c7]Nouh Guidoum, Faouzi Soltani, Khaled Zebiri, Amar Mezache:
Robust Non Parametric CFAR Detector in Compound Gaussian Clutter in the Presence of Thermal Noise and Interfering Targets. ICISP 2018: 186-193 - 2017
- [j9]Miloud Bentoumi, Djamel Chikouche, Amar Mezache, Haddi Bakhti:
Wavelet DT method for water leak-detection using a vibration sensor: an experimental analysis. IET Signal Process. 11(4): 396-405 (2017) - [j8]Mohamed Sahed, Amar Mezache:
Closed-Form Fractional-Moment-Based Estimators for K-Distributed Clutter-Plus-Noise Parameters. IEEE Trans. Aerosp. Electron. Syst. 53(4): 2094-2100 (2017) - [c6]Khaled Zebiri, Faouzi Soltani, Amar Mezache:
Robust non parametric CFAR detector in compound Gaussian clutter. ICFSP 2017: 68-71 - 2016
- [j7]Amar Mezache, Izzeddine Chalabi, Toufik Laroussi, Mohamed Sahed:
K-clutter plus noise parameter estimation using fractional positive and negative moments. IEEE Trans. Aerosp. Electron. Syst. 52(2): 960-967 (2016) - 2015
- [j6]Amar Mezache, Faouzi Soltani, Mohamed Sahed, Izzeddine Chalabi:
Model for non-rayleigh clutter amplitudes using compound inverse gaussian distribution: an experimental analysis. IEEE Trans. Aerosp. Electron. Syst. 51(1): 142-153 (2015) - [j5]Mohamed Sahed, Amar Mezache, Toufik Laroussi:
A novel [z log(z)]-based closed form approach to parameter estimation of k-distributed clutter plus noise for radar detection. IEEE Trans. Aerosp. Electron. Syst. 51(1): 492-505 (2015) - [j4]Amar Mezache, Mohamed Sahed, Faouzi Soltani, Izzeddine Chalabi:
Estimation of the k-distributed clutter plus thermal noise parameters using higher order and fractional moments. IEEE Trans. Aerosp. Electron. Syst. 51(1): 733-738 (2015) - [c5]Izzeddine Chalabi, Amar Mezache:
Estimating the K-distribution parameters based on fractional negative moments. SSD 2015: 1-5 - [c4]Izzeddine Chalabi, Amar Mezache:
Sea clutter modeling in presence of thermal noise using beta-prime texture distribution. SSD 2015: 1-5 - 2014
- [c3]Souad Chabbi, Toufik Laroussi, Amar Mezache:
Automatic WH-based edge detector in Weibull clutter. EUSIPCO 2014: 1706-1710 - 2013
- [c2]Amar Mezache, Izzeddine Chalabi:
Estimation of the RiIG-distribution parameters using the Artificial Neural Networks. ICSIPA 2013: 291-296
2000 – 2009
- 2008
- [j3]Amar Mezache, Faouzi Soltani:
Threshold optimization of decentralized CFAR detection in weibull clutter using genetic algorithms. Signal Image Video Process. 2(1): 1-7 (2008) - [j2]Amar Mezache, Faouzi Soltani:
A New Approach for Estimating the Parameters of the rmK-Distribution Using Fuzzy-Neural Networks. IEEE Trans. Signal Process. 56(11): 5724-5728 (2008) - 2007
- [j1]Amar Mezache, Faouzi Soltani:
A novel threshold optimization of ML-CFAR detector in Weibull clutter using fuzzy-neural networks. Signal Process. 87(9): 2100-2110 (2007) - [c1]Amar Mezache, Faouzi Soltani:
Threshold optimization for distributed CFAR detection in Weibull clutter using genetic algorithms. ISSPA 2007: 1-4
Coauthor Index
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