His primary areas of study are Algorithm, Artificial intelligence, Computer vision, Estimator and Signal processing. The Algorithm study combines topics in areas such as Speech recognition, Non-line-of-sight propagation and Joint. He has researched Artificial intelligence in several fields, including Radar, Transformation, Intensity and Pattern recognition.
Abdelhak M. Zoubir usually deals with Computer vision and limits it to topics linked to Radar imaging and Compressed sensing, Wideband and Synthetic aperture radar. His Estimator research is multidisciplinary, incorporating perspectives in Estimation theory, Ictal, Mathematical optimization, Geolocation and Seizure detection. His research in Signal processing intersects with topics in Machine learning, Data mining and Robustness.
His primary areas of investigation include Algorithm, Artificial intelligence, Signal processing, Pattern recognition and Mathematical optimization. His Algorithm research integrates issues from Noise, Statistics, Estimator and Robustness. Abdelhak M. Zoubir works mostly in the field of Statistics, limiting it down to concerns involving Detection theory and, occasionally, Detector.
His work carried out in the field of Robustness brings together such families of science as Wireless sensor network and Outlier. His work in Artificial intelligence addresses subjects such as Radar imaging, which are connected to disciplines such as Compressed sensing. His study connects Speech recognition and Signal processing.
His scientific interests lie mostly in Algorithm, Artificial intelligence, Robustness, Mathematical optimization and Outlier. His Algorithm research includes elements of Estimator, Bayesian probability, Cluster analysis and Signal processing. Abdelhak M. Zoubir works mostly in the field of Estimator, limiting it down to topics relating to Upper and lower bounds and, in certain cases, Applied mathematics and Gaussian noise, as a part of the same area of interest.
His work deals with themes such as Radar, Machine learning, Computer vision and Pattern recognition, which intersect with Artificial intelligence. His Robustness research focuses on Wireless sensor network and how it connects with Key distribution in wireless sensor networks. The study incorporates disciplines such as Function and Distribution in addition to Mathematical optimization.
Artificial intelligence, Algorithm, Robustness, Wireless sensor network and Radar are his primary areas of study. The various areas that Abdelhak M. Zoubir examines in his Artificial intelligence study include Machine learning, Data mining and Pattern recognition. His Pattern recognition study combines topics from a wide range of disciplines, such as Wireless and Speech recognition.
His studies in Algorithm integrate themes in fields like Optimal stopping, Expected value and Bayesian probability. His Robustness research is multidisciplinary, incorporating elements of Sequential probability ratio test, Statistical hypothesis testing, Quadratic function, Signal processing and Noise measurement. His biological study spans a wide range of topics, including Electronic engineering and Computer vision.
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The bootstrap and its application in signal processing
A.M. Zoubir;B. Boashash.
IEEE Signal Processing Magazine (1998)
Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts
A. M. Zoubir;V. Koivunen;Y. Chakhchoukh;M. Muma.
IEEE Signal Processing Magazine (2012)
Bootstrap techniques for signal processing
Abdelhak M. Zoubir;D. Robert Iskander.
Estimation of the parameters of the K-distribution using higher order and fractional moments [radar clutter]
D.R. Iskander;A.M. Zoubir.
IEEE Transactions on Aerospace and Electronic Systems (1999)
Signal processing techniques for landmine detection using impulse ground penetrating radar
A.M. Zoubir;I.J. Chant;C.L. Brown;B. Barkat.
IEEE Sensors Journal (2002)
Multipath exploitation in through-the-wall radar imaging using sparse reconstruction
Michael Leigsnering;Fauzia Ahmad;Moeness G. Amin;Abdelhak M. Zoubir.
IEEE Transactions on Aerospace and Electronic Systems (2014)
Bootstrap Methods and Applications
A.M. Zoubir;D. Robert Iskander.
IEEE Signal Processing Magazine (2007)
Local polynomial Fourier transform: A review on recent developments and applications
Xiumei Li;Guoan Bi;Srdjan Stankovic;Abdelhak M. Zoubir.
Signal Processing (2011)
Target Detection in Single- and Multiple-View Through-the-Wall Radar Imaging
C. Debes;M.G. Amin;A.M. Zoubir.
IEEE Transactions on Geoscience and Remote Sensing (2009)
Analysis of Multicomponent Polynomial Phase Signals
D.S. Pham;A.M. Zoubir.
IEEE Transactions on Signal Processing (2007)
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