What is he best known for?
The fields of study he is best known for:
- Algorithm
- Statistics
- Artificial intelligence
His primary areas of investigation include Algorithm, Decoding methods, Artificial intelligence, Block code and Electronic engineering.
A large part of his Algorithm studies is devoted to Chinese remainder theorem.
His studies in Decoding methods integrate themes in fields like QAM, Quadrature amplitude modulation, Cooperative diversity and Topology.
His work deals with themes such as Computer vision and Pattern recognition, which intersect with Artificial intelligence.
His work on Space–time block code as part of general Block code research is often related to Space time, thus linking different fields of science.
Xiang-Gen Xia has included themes like Spectral efficiency, Base station and Orthogonal frequency-division multiplexing in his Electronic engineering study.
His most cited work include:
- Signal constellations for quasi-orthogonal space-time block codes with full diversity (480 citations)
- A multiresolution watermark for digital images (349 citations)
- Design of prefilters for discrete multiwavelet transforms (288 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Algorithm, Electronic engineering, Communication channel, Synthetic aperture radar and Decoding methods.
His biological study spans a wide range of topics, including Radar, Telecommunications, Signal, Mathematical optimization and Orthogonal frequency-division multiplexing.
His Electronic engineering research includes elements of Transmission, Spectral efficiency, Base station and Intersymbol interference.
His Communication channel research incorporates elements of Wireless and Topology.
The Synthetic aperture radar study combines topics in areas such as Inverse synthetic aperture radar, Radar imaging and Azimuth.
His studies deal with areas such as Theoretical computer science, Single antenna interference cancellation and Quadrature amplitude modulation as well as Decoding methods.
He most often published in these fields:
- Algorithm (44.30%)
- Electronic engineering (18.74%)
- Communication channel (17.04%)
What were the highlights of his more recent work (between 2016-2021)?
- Algorithm (44.30%)
- Communication channel (17.04%)
- Electronic engineering (18.74%)
In recent papers he was focusing on the following fields of study:
Algorithm, Communication channel, Electronic engineering, MIMO and Synthetic aperture radar are his primary areas of study.
When carried out as part of a general Algorithm research project, his work on Covariance matrix is frequently linked to work in Scheme, therefore connecting diverse disciplines of study.
His Communication channel study incorporates themes from Wireless, Transmission and Duplex.
Xiang-Gen Xia interconnects Extremely high frequency and Base station in the investigation of issues within Electronic engineering.
His Synthetic aperture radar study combines topics from a wide range of disciplines, such as Azimuth, Inverse synthetic aperture radar, Radar imaging, Frequency domain and Ambiguity function.
His Inverse synthetic aperture radar research includes themes of Computer vision and Artificial intelligence.
Between 2016 and 2021, his most popular works were:
- Joint Power Allocation and Beamforming for Non-Orthogonal Multiple Access (NOMA) in 5G Millimeter Wave Communications (130 citations)
- Full-Duplex Millimeter-Wave Communication (62 citations)
- Millimeter-Wave Communications With Non-Orthogonal Multiple Access for B5G/6G (49 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Statistics
- Artificial intelligence
Xiang-Gen Xia spends much of his time researching Algorithm, Beamforming, Communication channel, Synthetic aperture radar and Electronic engineering.
His Algorithm research integrates issues from Radar, Signal-to-noise ratio, Signal and Piecewise.
His work carried out in the field of Beamforming brings together such families of science as Power control, Mathematical optimization, Interference, Constraint and Base station.
His research in Communication channel intersects with topics in Wireless, Codebook and Topology.
His Synthetic aperture radar study is associated with Artificial intelligence.
His work in Artificial intelligence tackles topics such as Computer vision which are related to areas like Radar imaging and Inverse synthetic aperture radar.
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