3 papers
eess.SP2021
Accurate Frequency Estimation with Fewer DFT Interpolations based on Padé Approximation
Kai Wu, J. Andrew Zhang, Xiaojing Huang +1
Frequency estimation is a fundamental problem in many areas. The well-known A&M and its variant estimators have established an estimation framework by iteratively interpolating the…
eess.SY2021
In-Field Gyroscope Autocalibration with Iterative Attitude Estimation
Li Wang, Rob Duffield, Deborah Fox +4
This paper presents an efficient in-field calibration method tailored for low-cost triaxial MEMS gyroscopes often used in healthcare applications. Traditional calibration technique…
cs.LG2019
WALL-E: An Efficient Reinforcement Learning Research Framework
Tianbing Xu, Andrew Zhang, Liang Zhao
There are two halves to RL systems: experience collection time and policy learning time. For a large number of samples in rollouts, experience collection time is the major bottlene…