Akbar M. Sayeed mainly investigates MIMO, Communication channel, Wireless, Electronic engineering and Channel capacity. Akbar M. Sayeed has researched MIMO in several fields, including Beamforming, Spectral efficiency and Antenna array. His Communication channel study integrates concerns from other disciplines, such as Algorithm, Spatial correlation and Topology.
The Wireless study combines topics in areas such as Key generation, Cryptography and Wireless sensor network, Computer network. His Electronic engineering study focuses on Bandwidth in particular. His Channel capacity study combines topics from a wide range of disciplines, such as Degrees of freedom and Representation.
His primary areas of investigation include Communication channel, MIMO, Electronic engineering, Algorithm and Wireless. His Communication channel research incorporates elements of Transmitter and Topology. His studies in MIMO integrate themes in fields like Spatial correlation and Control theory.
His study ties his expertise on MIMO-OFDM together with the subject of Electronic engineering. As a part of the same scientific study, Akbar M. Sayeed usually deals with the Algorithm, concentrating on Time–frequency analysis and frequently concerns with Quadratic equation, Signal processing and Bilinear interpolation. His research in Wireless intersects with topics in Key generation, Wireless sensor network, Computer network, Reduction and Real-time computing.
His scientific interests lie mostly in Electronic engineering, MIMO, 3G MIMO, Spatial multiplexing and Beamforming. His Electronic engineering research is multidisciplinary, relying on both Interference, Antenna array and Aperture. His study in MIMO is interdisciplinary in nature, drawing from both Wireless, Phased array and Bandwidth.
The study incorporates disciplines such as Computer network, Signal processing, Bandwidth allocation and Gigabit in addition to Wireless. His Spatial multiplexing research incorporates themes from Multiplexing and Electrical engineering. His Communication channel research includes elements of Beamwidth, Algorithm, Data conversion and Wideband.
His primary areas of study are MIMO, Electronic engineering, Spatial multiplexing, Multi-user MIMO and 3G MIMO. The concepts of his MIMO study are interwoven with issues in Beamforming and Bandwidth. His Bandwidth research is multidisciplinary, incorporating elements of Wireless and Communications system.
His Wireless study combines topics from a wide range of disciplines, such as Computer network and Spectral efficiency. His Spatial multiplexing research is multidisciplinary, relying on both Multiplexing and MIMO-OFDM. His Communication channel research is multidisciplinary, incorporating perspectives in Computational complexity theory, Communication complexity, Matched filter and Radar.
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Detection, classification, and tracking of targets
Dan Li;K.D. Wong;Yu Hen Hu;A.M. Sayeed.
IEEE Signal Processing Magazine (2002)
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
Robert W. Heath;Nuria Gonzalez-Prelcic;Sundeep Rangan;Wonil Roh.
IEEE Journal of Selected Topics in Signal Processing (2016)
Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels
Waheed U Bajwa;Jarvis Haupt;Akbar M Sayeed;Robert Nowak.
Proceedings of the IEEE (2010)
Deconstructing multiantenna fading channels
IEEE Transactions on Signal Processing (2002)
Distributed target classification and tracking in sensor networks
R.R. Brooks;P. Ramanathan;A.M. Sayeed.
Proceedings of the IEEE (2003)
Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements
John Brady;Nader Behdad;Akbar M. Sayeed.
IEEE Transactions on Antennas and Propagation (2013)
Joint multipath-Doppler diversity in mobile wireless communications
A.M. Sayeed;B. Aazhang.
IEEE Transactions on Communications (1999)
Compressive wireless sensing
Waheed Bajwa;Jarvis Haupt;Akbar Sayeed;Robert Nowak.
information processing in sensor networks (2006)
Detection, Classification and Tracking of Targets in Distributed Sensor Networks
Dan Li;Kerry D. Wong;Yu H. Hu;Akbar M. Sayeed.
Improved wavelet denoising via empirical Wiener filtering
Sandeep P. Ghael;Akbar M. Sayeed;Richard G. Baraniuk.
SPIE Technical Conference on Wavelet Applications in Signal Processing (1997)
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