Joseph R. Cavallaro mostly deals with Parallel computing, MIMO, Throughput, Low-density parity-check code and Electronic engineering. His research in Parallel computing intersects with topics in Kernel, Turbo code, Soft-decision decoder and Graphics. His MIMO research integrates issues from Algorithm, Telecommunications link and Detector.
His Low-density parity-check code study incorporates themes from Belief propagation and CUDA. His work carried out in the field of Electronic engineering brings together such families of science as Spatial multiplexing, Orthogonal frequency-division multiplexing and Communications system. His studies deal with areas such as Computer hardware and 3G MIMO as well as Multi-user MIMO.
Joseph R. Cavallaro mainly focuses on MIMO, Electronic engineering, Algorithm, Parallel computing and Wireless. Joseph R. Cavallaro has researched MIMO in several fields, including Real-time computing, Telecommunications link and Detector. The Detector study combines topics in areas such as Computer hardware, Throughput and Bit error rate.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Antenna, Predistortion, Orthogonal frequency-division multiplexing and Single antenna interference cancellation. The various areas that he examines in his Parallel computing study include Decoding methods, Low-density parity-check code, Soft-decision decoder and Turbo code. His Wireless research incorporates elements of Computer network and Embedded system.
His main research concerns MIMO, Multi-user MIMO, Electronic engineering, Predistortion and Baseband. His MIMO research is multidisciplinary, relying on both Base station, Detector, Orthogonal frequency-division multiplexing and Coordinate descent. His studies in Orthogonal frequency-division multiplexing integrate themes in fields like Multiplexing and Real-time computing.
His work deals with themes such as Antenna array, Beamforming, Chip, Spectral efficiency and Telecommunications link, which intersect with Multi-user MIMO. The study incorporates disciplines such as Linearization, Transmission, Adjacent channel, Field-programmable gate array and Antenna in addition to Electronic engineering. His Baseband study combines topics in areas such as Computer hardware, Embedded system, Bandwidth and Frequency domain.
The scientist’s investigation covers issues in MIMO, Multi-user MIMO, Baseband, Electronic engineering and Orthogonal frequency-division multiplexing. His MIMO research is multidisciplinary, incorporating perspectives in Computer hardware, Pipeline, Parallel computing, Telecommunications link and General-purpose computing on graphics processing units. His Parallel computing research includes elements of Minimum mean square error, 3G MIMO and Cholesky decomposition.
His Multi-user MIMO study combines topics from a wide range of disciplines, such as Scalability, Antenna array, Computer engineering, Beamforming and Precoding. His work carried out in the field of Electronic engineering brings together such families of science as Spurious relationship, Predistortion and Detector. Joseph R. Cavallaro combines subjects such as Multiplexing, Real-time computing and Time of arrival with his study of Orthogonal frequency-division multiplexing.
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Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations
Michael Wu;Bei Yin;Guohui Wang;Chris Dick.
IEEE Journal of Selected Topics in Signal Processing (2014)
CORDIC arithmetic for an SVD processor
Joseph R. Cavallaro;Franklin T. Luk.
Journal of Parallel and Distributed Computing (1988)
A dynamic fault tolerance framework for remote robots
M.L. Visinsky;J.R. Cavallaro;I.D. Walker.
international conference on robotics and automation (1995)
Robotic fault detection and fault tolerance: A survey
Monica L. Visinsky;Joseph R. Cavallaro;Ian D. Walker.
Reliability Engineering & System Safety (1994)
Integrated CAD framework linking VLSI layout editors and process simulators
Chaitali Sengupta;Miklos Erdelyi;Zsolt Bor;Joseph R. Cavallaro.
Proceedings of SPIE, the International Society for Optical Engineering (1996)
FPGA Implementation of Matrix Inversion Using QRD-RLS Algorithm
M. Karkooti;J.R. Cavallaro;C. Dick.
asilomar conference on signals, systems and computers (2005)
Semi-parallel reconfigurable architectures for real-time LDPC decoding
M. Karkooti;J.R. Cavallaro.
international conference on information technology coding and computing (2004)
Approximate matrix inversion for high-throughput data detection in the large-scale MIMO uplink
Michael Wu;Bei Yin;Aida Vosoughi;Christoph Studer.
international symposium on circuits and systems (2013)
Numerical accuracy and hardware tradeoffs for CORDIC arithmetic for special-purpose processors
K. Kota;J.R. Cavallaro.
IEEE Transactions on Computers (1993)
Efficient hardware implementation of a highly-parallel 3GPP LTE/LTE-advance turbo decoder
Yang Sun;Joseph R. Cavallaro.
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