Teng Shao

Orcid: 0000-0001-5276-9266

According to our database1, Teng Shao authored at least 12 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributed consensus Kalman filtering for asynchronous multi-rate sensor networks.
Signal Image Video Process., September, 2024

2023
Convex Combination for Wireless Localization Using Biased RSS Measurements.
Int. J. Distributed Sens. Networks, 2023

2022
Distributed filtering in sensor networks based on linear minimum mean square error criterion with limited sensing range.
Int. J. Distributed Sens. Networks, 2022

2021
Performance Ranking of Kalman Filter With Pre-Determined Initial State Prior.
IEEE Signal Process. Lett., 2021

A Multi-factor Comprehensive Model of Human Thermal Sensation in Free-running Built Environment in Summer in Xi'an, China.
Proceedings of the 5th International Conference on Vision, Image and Signal Processing, 2021

2019
Adaptive BM3D Algorithm for Image Denoising Using Coefficient of Variation.
Proceedings of the 22th International Conference on Information Fusion, 2019

Multi-Rate Asynchronous Distributed Filtering Under Randomized Gossip Strategy.
Proceedings of the 22th International Conference on Information Fusion, 2019

2017
Carrier Tracking Estimation Analysis by Using the Extended Strong Tracking Filtering.
IEEE Trans. Ind. Electron., 2017

2016
Multisensor Nonlinear Fusion Methods Based on Adaptive Ensemble Fifth-Degree Iterated Cubature Information Filter for Biomechatronics.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Performance Analysis of the Kalman Filter With Mismatched Noise Covariances.
IEEE Trans. Autom. Control., 2016

2015
Observable degree analysis using unscented information filter for nonlinear estimation systems.
Proceedings of the 10th International Conference on Information, 2015

2014
Flexible fusion structure for air task networks.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014


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