Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Krzysztof Brzostowski"'
Autor:
Krzysztof Brzostowski
Publikováno v:
IEEE Access, Vol 8, Pp 111566-111584 (2020)
Effective signal denoising methods are essential for science and engineering. In general, denoising algorithms may be either linear or non-linear. Most of the linear ones are unable to remove the noise from the real-world measurements. More suitable
Externí odkaz:
https://doaj.org/article/12254057242e4dd7a30e45ac0faa4a4f
Autor:
Jerzy Świa̧tek, Krzysztof Brzostowski
Publikováno v:
Applied Intelligence. 51:2312-2330
The paper proposes an approach to signal denoising based on a combination of Variational Mode Decomposition with the Split Augmented Lagrangian Shrinkage Algorithm.In our research, we found that the proposed approach gives a great improvement of deno
Different Approaches to Threshold Estimation for Variation Mode Decomposition-Based Signal Denoising
Autor:
Krzysztof Brzostowski, Jerzy Świątek
Publikováno v:
Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 ISBN: 9783030657956
In the paper, the problem of threshold estimation to the needs of the thresholding operators-based denoising algorithm is considered. The typical approach to design the Variational Mode Decomposition-based signal denoising algorithm uses thresholding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfa9710f96bca9b33d41a84fedcf1b95
https://doi.org/10.1007/978-3-030-65796-3_9
https://doi.org/10.1007/978-3-030-65796-3_9
Publikováno v:
Automatic Control, Robotics, and Information Processing ISBN: 9783030485863
The currently available computational power of machines allows for the modelling and analysis of nonlinear processes measured in the presence of non-Gaussian disturbances. This work gives an overview of methods useful for the analysis and reduction o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5063c14c857ee013df04901a642514
https://doi.org/10.1007/978-3-030-48587-0_4
https://doi.org/10.1007/978-3-030-48587-0_4
Autor:
Krzysztof Brzostowski
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 67:1389-1398
The ability to track people’s movement (e.g., the human walking) is an important topic of interest in numerous research areas. State-of-the-art systems based on, e.g., dead reckoning, usually do not need any additional infrastructure. The disadvant
Autor:
Krzysztof Brzostowski
Publikováno v:
Biomedical Signal Processing and Control. 42:18-29
The speed of human walking is a valuable indicator of individuals’ health status, for example in sports or medicine. Classic methods such as the camera-based approach have serious limitations: (1) they can be used only in the laboratory setting, an
Autor:
Krzysztof Brzostowski, Jerzy Świątek
Publikováno v:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881
IEA/AIE
IEA/AIE
In the paper, a novel approach to noise removing bases on Variational Mode Decomposition and Total Variation Denoising is presented. Variational Mode Decomposition is a state-of-the-art adaptive and non-recursive signal analysis method. The method is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a554d4def4e0e7a0fa15ea495820d8ef
https://doi.org/10.1007/978-3-030-55789-8_56
https://doi.org/10.1007/978-3-030-55789-8_56
Publikováno v:
Cryptology and Network Security ISBN: 9783030004330
MISSI
MISSI
The paper presents the system to track and visualize the human movement. The system is equipped with inertial measurement units, consisting triaxial accelerometers, gyroscopes and magnetometers. The estimates of the relative position and orientation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dee19145018a5dcc3e73c626a240eca
https://doi.org/10.1007/978-3-319-98678-4_7
https://doi.org/10.1007/978-3-319-98678-4_7
Autor:
Piotr Szwach, Krzysztof Brzostowski
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2018 (2018)
We present a data fusion-based methodology for supporting the sports training. Training sessions are planned by coach on the basis of the analyzed data obtained during each training session. The data are usually acquired from various sensors attached
Autor:
Krzysztof Brzostowski, Jerzy Swiatek
Publikováno v:
ICSEng
The paper presents a new method to signal denoising based on Empirical Mode Decomposition and sparse optimization with application to fiber optical gyroscope measurement. The conventional approaches to signal denoising designed for Empirical Mode Dec