2019 - Fellow of the American Association for the Advancement of Science (AAAS)
Randolph L. Moses spends much of his time researching Algorithm, Wireless sensor network, Synthetic aperture radar, Estimation theory and Radar imaging. His Wireless sensor network research incorporates themes from Wireless ad hoc network, Distributed computing and Graphical model. His work is dedicated to discovering how Synthetic aperture radar, Radar are connected with Scattering and other disciplines.
His biological study spans a wide range of topics, including Covariance matrix and Signal processing. His Radar imaging research is multidisciplinary, relying on both Polarimetry, Artificial intelligence and Computer vision. His work on Maximum likelihood and Nonparametric statistics as part of general Statistics research is frequently linked to Index, Bibliography and Spectral analysis, bridging the gap between disciplines.
Randolph L. Moses mostly deals with Algorithm, Artificial intelligence, Synthetic aperture radar, Radar and Scattering. His Algorithm research is multidisciplinary, incorporating elements of Wireless sensor network, Estimator, Mathematical optimization and Signal processing. Randolph L. Moses combines subjects such as Node, Graphical model and Distributed computing with his study of Wireless sensor network.
His studies deal with areas such as Metric, Computer vision and Pattern recognition as well as Artificial intelligence. His studies in Synthetic aperture radar integrate themes in fields like Inverse synthetic aperture radar, Radar imaging, Bistatic radar, Aperture and Iterative reconstruction. In Radar, Randolph L. Moses works on issues like Remote sensing, which are connected to Lightning strike.
His scientific interests lie mostly in Artificial intelligence, Synthetic aperture radar, Computer vision, Algorithm and Radar. His work deals with themes such as Scattering and Radar imaging, which intersect with Synthetic aperture radar. His work carried out in the field of Algorithm brings together such families of science as Change detection, Machine learning and Parametric statistics.
His research integrates issues of Waveform, Phase center, Optics and Estimator in his study of Radar. The various areas that Randolph L. Moses examines in his Mathematical optimization study include Wireless sensor network and Mixing. His Wireless sensor network research includes elements of Statistical model and Flow network.
Randolph L. Moses mainly investigates Synthetic aperture radar, Radar imaging, Artificial intelligence, Computer vision and Iterative reconstruction. The Synthetic aperture radar study combines topics in areas such as Radar, Scattering and Bistatic radar. As a part of the same scientific study, Randolph L. Moses usually deals with the Bistatic radar, concentrating on Feature extraction and frequently concerns with Estimation theory.
His research in Radar imaging intersects with topics in Optimization problem and Interferometric synthetic aperture radar. Randolph L. Moses has researched Inverse synthetic aperture radar in several fields, including Algorithm and Aperture. Restricted isometry property is the focus of his Algorithm research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Locating the nodes: cooperative localization in wireless sensor networks
N. Patwari;J.N. Ash;S. Kyperountas;A.O. Hero.
IEEE Signal Processing Magazine (2005)
Introduction to spectral analysis
P. G. Stoica;Randolph L. Moses.
Spectral analysis of signals
P. G. Stoica;Randolph L. Moses.
Nonparametric belief propagation for self-localization of sensor networks
A.T. Ihler;J.W. Fisher;R.L. Moses;A.S. Willsky.
IEEE Journal on Selected Areas in Communications (2005)
Attributed scattering centers for SAR ATR
L.C. Potter;R.L. Moses.
IEEE Transactions on Image Processing (1997)
A Self-Localization Method for Wireless Sensor Networks
Randolph L. Moses;Dushyanth Krishnamurthy;Robert M. Patterson.
EURASIP Journal on Advances in Signal Processing (2003)
Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements
P. Stoica;R.L. Moses;B. Friedlander;T. Soderstrom.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)
Locating the Nodes
Neal Patwari;Joshua N. Ash;Spyros Kyperountas;Alfred O. Hero.
Analysis/synthesis-based microphone array speech enhancer with variable signal distortion
Raymond E. Slyh;Randolph L. Moses;Timothy R. Anderson.
Journal of the Acoustical Society of America (1995)
High resolution radar target modeling using a modified Prony estimator
R. Carriere;R.L. Moses.
IEEE Transactions on Antennas and Propagation (1992)
Profile was last updated on December 6th, 2021.
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