His primary areas of study are MIMO, Electronic engineering, Radar, Algorithm and Communication channel. His MIMO research is multidisciplinary, incorporating perspectives in Antenna array, Antenna and Control theory. His Electronic engineering study combines topics from a wide range of disciplines, such as Transmitter, Constant false alarm rate, Sensor array and Continuous-wave radar.
His Continuous-wave radar research includes themes of Bistatic radar and Pulse-Doppler radar. He is interested in Space-time adaptive processing, which is a field of Radar. His work in Algorithm tackles topics such as Theoretical computer science which are related to areas like Sensor fusion, Signal design, Neyman pearson and Fisher information.
Rick S. Blum mostly deals with Algorithm, Electronic engineering, MIMO, Radar and Artificial intelligence. His study in Algorithm is interdisciplinary in nature, drawing from both Detection theory and Statistics, Estimator. In his work, Computer network and Decoding methods is strongly intertwined with Communication channel, which is a subfield of Electronic engineering.
His MIMO research integrates issues from Transmitter, Control theory and Antenna. As part of one scientific family, Rick S. Blum deals mainly with the area of Radar, narrowing it down to issues related to the Waveform, and often Mutual information. His Bistatic radar study deals with Radar engineering details intersecting with Pulse-Doppler radar.
His scientific interests lie mostly in Algorithm, Radar, Estimator, Estimation theory and MIMO. Rick S. Blum combines subjects such as Wireless sensor network, Upper and lower bounds, Test statistic and Synchronization with his study of Algorithm. His Radar study incorporates themes from Mimo radar, Signal, Antenna and Electronic engineering.
The various areas that Rick S. Blum examines in his Electronic engineering study include Battery, Orthogonal frequency-division multiplexing, Greedy algorithm and Communications system. His biological study spans a wide range of topics, including Control theory and Robustness. His MIMO study also includes fields such as
Rick S. Blum mainly focuses on Algorithm, Wireless sensor network, Radar, Statistical hypothesis testing and Real-time computing. His Algorithm research is multidisciplinary, incorporating perspectives in Upper and lower bounds, Estimator and Signal, Signal processing. His Wireless sensor network research includes elements of Detection theory, Encryption, Spoofing attack and Statistical signal processing.
Rick S. Blum has included themes like Covariance, MIMO and Antenna in his Radar study. Rick S. Blum is studying Mimo radar, which is a component of MIMO. His Real-time computing research includes themes of Energy, Detector and Transmission.
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.
MIMO Radar with Widely Separated Antennas
A.M. Haimovich;R.S. Blum;L.J. Cimini.
IEEE Signal Processing Magazine (2008)
MIMO radar: an idea whose time has come
E. Fishler;A. Haimovich;R. Blum;D. Chizhik.
ieee radar conference (2004)
Spatial Diversity in Radars—Models and Detection Performance
E. Fishler;A. Haimovich;R.S. Blum;L.J. Cimini.
IEEE Transactions on Signal Processing (2006)
A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application
Zhong Zhang;R.S. Blum.
Proceedings of the IEEE (1999)
Distributed detection with multiple sensors II. Advanced topics
R.S. Blum;S.A. Kassam;S.A. Kassam;H.V. Poor.
Proceedings of the IEEE (1997)
MIMO radar waveform design based on mutual information and minimum mean-square error estimation
Yang Yang;R.S. Blum.
IEEE Transactions on Aerospace and Electronic Systems (2007)
MIMO capacity with interference
IEEE Journal on Selected Areas in Communications (2003)
Target Localization Accuracy Gain in MIMO Radar-Based Systems
Hana Godrich;Alexander M Haimovich;Rick S Blum.
IEEE Transactions on Information Theory (2010)
Multi-sensor image fusion and its applications
Rick S. Blum;Zheng Liu.
Performance of MIMO radar systems: advantages of angular diversity
E. Fishler;A. Haimovich;R. Blum;R. Cimini.
asilomar conference on signals, systems and computers (2004)
Profile was last updated on December 6th, 2021.
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