2017 - IEEE Fellow For contributions to optimization in signal processing and communications
His main research concerns Mathematical optimization, Algorithm, Convex optimization, Optimization problem and Beamforming. Wing-Kin Ma has included themes like MIMO, Artificial noise, Channel state information and Robustness in his Mathematical optimization study. In the subject of general Algorithm, his work in Recursion is often linked to Gaussian process, thereby combining diverse domains of study.
His work in the fields of Convex analysis overlaps with other areas such as Linear programming, Hyperspectral imaging, RGB color model and Contextual image classification. The study incorporates disciplines such as Relay channel, Relay, Upper and lower bounds and Communication channel in addition to Optimization problem. His Beamforming research is multidisciplinary, incorporating perspectives in Relaxation and Multicast.
Wing-Kin Ma mainly focuses on Algorithm, Mathematical optimization, Beamforming, MIMO and Hyperspectral imaging. Many of his research projects under Algorithm are closely connected to Matrix decomposition with Matrix decomposition, tying the diverse disciplines of science together. His Mathematical optimization research incorporates elements of Communication channel and Robustness.
His Beamforming study also includes fields such as
Wing-Kin Ma mainly investigates Algorithm, MIMO, Precoding, Matrix decomposition and Beamforming. His work deals with themes such as Probabilistic logic, Hyperspectral imaging, Identifiability and Robustness, which intersect with Algorithm. His MIMO research is multidisciplinary, incorporating elements of Quantization, Artificial neural network, Modulation, Iterative method and Electronic engineering.
His Precoding study also includes fields such as
Wing-Kin Ma spends much of his time researching Algorithm, Precoding, MIMO, Hyperspectral imaging and Matrix decomposition. His work focuses on many connections between Algorithm and other disciplines, such as Identifiability, that overlap with his field of interest in Data analysis and Hidden Markov model. His Precoding research is multidisciplinary, relying on both Beamforming, Spectral efficiency, Optimization problem, Telecommunications link and Quadrature amplitude modulation.
To a larger extent, Wing-Kin Ma studies Mathematical optimization with the aim of understanding Optimization problem. His MIMO research integrates issues from Noise, Iterative method, Electronic engineering and Modulation. His study in the field of Non-negative matrix factorization is also linked to topics like Inscribed figure, Convex optimization and Ellipsoid.
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.
Semidefinite Relaxation of Quadratic Optimization Problems
Zhi-quan Luo;Wing-kin Ma;Anthony Man-Cho So;Yinyu Ye.
IEEE Signal Processing Magazine (2010)
The Gaussian Mixture Probability Hypothesis Density Filter
Ba-Ngu Vo;Wing-Kin Ma.
IEEE Transactions on Signal Processing (2006)
Least squares algorithms for time-of-arrival-based mobile location
K.W. Cheung;H.C. So;W.-K. Ma;Y.T. Chan.
IEEE Transactions on Signal Processing (2004)
Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA
Wing-Kin Ma;T.N. Davidson;Kon Max Wong;Zhi-Quan Luo.
IEEE Transactions on Signal Processing (2002)
A Convex Analysis-Based Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing
Tsung-Han Chan;Chong-Yung Chi;Yu-Min Huang;Wing-Kin Ma.
IEEE Transactions on Signal Processing (2009)
QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach
Wei-Cheng Liao;Tsung-Hui Chang;Wing-Kin Ma;Chong-Yung Chi.
IEEE Transactions on Signal Processing (2011)
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing
Wing-Kin Ma;Jose M. Bioucas-Dias;Tsung-Han Chan;Nicolas Gillis.
IEEE Signal Processing Magazine (2014)
Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization
Kun-Yu Wang;Anthony Man-Cho So;Tsung-Hui Chang;Wing-Kin Ma.
IEEE Transactions on Signal Processing (2014)
A constrained least squares approach to mobile positioning: algorithms and optimality
K. W. Cheung;H. C. So;W.-K. Ma;Y. T. Chan.
EURASIP Journal on Advances in Signal Processing (2006)
Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization
Qiang Li;Wing-Kin Ma.
IEEE Transactions on Signal Processing (2013)
Profile was last updated on December 6th, 2021.
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