His primary scientific interests are in Algorithm, Multilateration, Cramér–Rao bound, Mathematical optimization and Estimator. His Algorithm research is multidisciplinary, relying on both Electronic engineering and Noise. His studies in Multilateration integrate themes in fields like Iterative method, Statistics and Noise.
He works mostly in the field of Statistics, limiting it down to topics relating to Signal processing and, in certain cases, Pattern recognition and Artificial intelligence. His study in Cramér–Rao bound is interdisciplinary in nature, drawing from both Noise measurement and Efficient estimator. His Mathematical optimization research includes themes of Recursive least squares filter and Total least squares, Least squares, Generalized least squares.
The scientist’s investigation covers issues in Algorithm, Artificial intelligence, Cramér–Rao bound, Gaussian noise and Estimator. His research integrates issues of Multilateration, Position, Upper and lower bounds and Mathematical optimization in his study of Algorithm. His Multilateration study combines topics from a wide range of disciplines, such as Estimation theory, Statistics, Sensor array and Angle of arrival.
The Artificial intelligence study combines topics in areas such as Speech recognition, Ground-penetrating radar, Computer vision and Pattern recognition. His work carried out in the field of Cramér–Rao bound brings together such families of science as Noise measurement and Time of arrival. His biological study deals with issues like Noise, which deal with fields such as Signal-to-noise ratio and Control theory.
His scientific interests lie mostly in Algorithm, Gaussian noise, Position, Upper and lower bounds and Initialization. His studies deal with areas such as Direction of arrival, Multilateration, Estimator, Relaxation and Noise measurement as well as Algorithm. The various areas that K.C. Ho examines in his Multilateration study include Algorithm design, Trust region and Near and far field.
His Position research incorporates themes from Cramér–Rao bound, Rotation, Object, Signal and Relaxation. His study looks at the intersection of Cramér–Rao bound and topics like Outlier with Anomaly detection and Pattern recognition. His research in Upper and lower bounds intersects with topics in Transmitter and Regular polygon.
K.C. Ho mostly deals with Algorithm, Gaussian noise, Estimator, Position and Noise measurement. His biological study spans a wide range of topics, including Multilateration, Direction of arrival, Noise and Relaxation. He has included themes like Angle of arrival, Algorithm design and Near and far field in his Multilateration study.
His Gaussian noise research integrates issues from Upper and lower bounds, Signal and Nonlinear system. His Upper and lower bounds research incorporates elements of Quadratic function, Divergence and Trust region. His work in Noise measurement addresses issues such as Convex optimization, which are connected to fields such as Rotation and Angular velocity.
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.
A simple and efficient estimator for hyperbolic location
Y.T. Chan;K.C. Ho.
IEEE Transactions on Signal Processing (1994)
An accurate algebraic solution for moving source location using TDOA and FDOA measurements
K.C. Ho;Wenwei Xu.
IEEE Transactions on Signal Processing (2004)
Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution
K.C. Ho;Xiaoning Lu;L. Kovavisaruch.
IEEE Transactions on Signal Processing (2007)
Solution and performance analysis of geolocation by TDOA
K.C. Ho;Y.T. Chan.
IEEE Transactions on Aerospace and Electronic Systems (1993)
Modulation identification of digital signals by the wavelet transform
K.C. Ho;W. Prokopiw;Y.T. Chan.
IEE Proceedings - Radar, Sonar and Navigation (2000)
Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing
Alina Zare;K. C. Ho.
IEEE Signal Processing Magazine (2014)
A Microphone Array System for Automatic Fall Detection
Yun Li;K. C. Ho;M. Popescu.
IEEE Transactions on Biomedical Engineering (2012)
Geolocation of a known altitude object from TDOA and FDOA measurements
K.C. Ho;Y.T. Chan.
IEEE Transactions on Aerospace and Electronic Systems (1997)
Bias Reduction for an Explicit Solution of Source Localization Using TDOA
K. C. Ho.
IEEE Transactions on Signal Processing (2012)
Identification of digital modulation types using the wavelet transform
Liang Hong;K.C. Ho.
military communications conference (1999)
Profile was last updated on December 6th, 2021.
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