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Papers matching “covariance matrix estimation” 8

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Covariance Estimation under One‐bit Quantization
2021 PAMM article Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

4

citations
Covariance estimation under one-bit quantization
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

0

citations
New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization
2022 Applied and numerical harmonic analysis book-chapter Engineering Sparse and Compressive Sensing Techniques

Johannes Maly, Tianyu Yang, Sjoerd Dirksen, Holger Rauhut, Giuseppe Caire

6

citations
Breaking the voltage plateau barrier: Slope-adaptive state-of-charge estimation for LFP batteries with temperature-aware hysteresis modeling
2025 eTransportation article Engineering Battery Modeling and Management Open access

Lisen Yan, Jun Peng, Heng Li, Dirk Uwe Sauer, Weihan Li

17

citations
Estimation of Step Length With Wearable Thigh Sensor Using an Unscented Kalman Filter
2022 IEEE Journal of Biomedical and Health Informatics article Engineering Inertial Sensor and Navigation

Sanjay Chandrasekaran, Markus Lueken, Steffen K. Leonhardt, Uma Gandhi, Thea Laurentius, Cornelius Bollheimer, +1 more

5

citations
C 2 MI: A Covariance-Coupling Sparse Recovery Algorithm for Metasurface-Based Microwave Imaging
2025 Antenna Measurement Techniques Association Symposium (AMTA) conference-paper Engineering Microwave Imaging and Scattering Analysis

Firas Slewa Dawod, M. Arif, Renato Negra, Sayan Kumar Roy

1

citations
Adaptive modellbasierte Zustandsüberwachungsalgorithmen für Lithium-Ionen-Batterien
2020 RWTH Publications (RWTH Aachen) dissertation Engineering Advanced Battery Technologies Research Open access

Shi Li

0

citations
On the Steady State Performance of the Kalman Filter Applied to Acoustical Systems
2020 IEEE Signal Processing Letters article Engineering Advanced Adaptive Filtering Techniques

Johannes Fabry, Stefan Kühl, Peter Jax

14

citations

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