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Book
Position Estimation in Uncertain Radio Environments and Trajectory Learning
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ISBN: 9176855597 Year: 2017 Publisher: Linkopings Universitet

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Gaussian Processes for Positioning Using Radio Signal Strength Measurements
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ISBN: 9176851621 Year: 2019 Publisher: Linkopings Universitet

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Gaussian Processes for Positioning Using Radio Signal Strength Measurements
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ISBN: 9789176851623 Year: 2019 Publisher: Linkopings Universitet

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This dissertation explores the application of Gaussian processes for positioning using radio signal strength measurements. It addresses the estimation of unknown parameters in statistical signal processing, with a focus on improving positioning accuracy in indoor environments and autonomous systems. The work involves modeling the relationship between positions and radio signal strengths, employing methods such as sequential Monte Carlo, particle filtering, and smoothing. The research also establishes Cramér-Rao bounds as benchmarks for positioning accuracy and compares different positioning scenarios. Additionally, the dissertation discusses applications in sports analytics and proposes a grey-box modeling approach for analyzing forces in cross-country skiing. The intended audience includes researchers and professionals in statistical signal processing and related fields.


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Position Estimation in Uncertain Radio Environments and Trajectory Learning
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ISBN: 9789176855591 Year: 2017 Publisher: Linkopings Universitet

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This thesis by Yuxin Zhao focuses on position estimation in uncertain radio environments and trajectory learning, utilizing advanced Bayesian inference and Monte Carlo methods. It addresses challenges related to predicting hidden states from noisy observations, with applications including indoor positioning, autonomous car navigation, traffic flow modeling, and sports analytics. The thesis introduces a sequential Monte Carlo method for proximity-based positioning systems and proposes a trajectory learning framework using Gaussian processes for real-time applications in sports performance and health monitoring. The work aims to improve the accuracy and efficiency of position estimation and trajectory prediction in complex environments.


Book
Bio-inspired Computing: Theories and Applications : 12th International Conference, BIC-TA 2017, Harbin, China, December 1–3, 2017, Proceedings
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ISBN: 9811071799 9811071780 Year: 2017 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book constitutes the proceedings of the 12th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2017, held in Harbin, China, December 2017. The 50 full papers presented were selected from 143 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, tissues, neural networks, immune systems, and ant colonies.


Digital
Bio-inspired Computing: Theories and Applications : 12th International Conference, BIC-TA 2017, Harbin, China, December 1–3, 2017, Proceedings
Authors: --- --- ---
ISBN: 9789811071799 Year: 2017 Publisher: Singapore Springer Singapore, Imprint: Springer

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This book constitutes the proceedings of the 12th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2017, held in Harbin, China, December 2017. The 50 full papers presented were selected from 143 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, tissues, neural networks, immune systems, and ant colonies.


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Outliers in Control Engineering

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