Finding the Truth From Uncertain Time Series by Differencing
Time series data is ubiquitous and of great importance in real applications. But due to poor qualities and bad working conditions of sensors, time series reported by them contain more or less noises. To reduce noise, multiple sensors are usually deployed to measure an identical time series and from...
Main Authors: | Jizhou Sun, Delin Zhou, Bo Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Open Journal of the Computer Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10288191/ |
Similar Items
-
Approximate solutions to the Gardner equation by spectral modified Exponential Time Differencing method
by: Leo Degon, et al.
Published: (2022-06-01) -
Performance Improvement of Time-Differenced Carrier Phase Measurement-Based Integrated GPS/INS Considering Noise Correlation
by: Jungbeom Kim, et al.
Published: (2019-07-01) -
Exponential Time Differencing Algorithm for Pulse-Coupled Hodgkin-Huxley Neural Networks
by: Zhong-qi Kyle Tian, et al.
Published: (2020-05-01) -
Statistical feature-based steganalysis for pixel-value differencing steganography
by: Wen-Bin Lin, et al.
Published: (2021-09-01) -
A Novel Single Differencing Measurement for Multipath Detection
by: Matthew Alcock, et al.
Published: (2023-11-01)