Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Naleli Jubert Matjelo"'
This paper addresses two state space models for generating approximate power law noise and shows that these models are related through partial fractions in frequency domain.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::013bdada6e1d8ce71c2c64f0c34a9f20
https://zenodo.org/record/8046687
https://zenodo.org/record/8046687
Autor:
Naleli Jubert Matjelo, Mosito Lekhooana, Sekhants'o Paul Lara, Mopeli Fabiane, Makhamisa Senekane
Publikováno v:
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e8fb46855bf918adb4efab9c7eb08b0
https://doi.org/10.1109/icecet55527.2022.9872704
https://doi.org/10.1109/icecet55527.2022.9872704
Publikováno v:
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f09e364003bd333a7728dada7caef116
https://doi.org/10.1109/icecet55527.2022.9873504
https://doi.org/10.1109/icecet55527.2022.9873504
Autor:
Naleli Jubert Matjelo
In this paper, we consider modeling measurement as part of the overall system dynamics in a way that allows a dynamic interaction between the target system and the measuring system/device. For example, the interaction between the target system and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c97ee36dadcd0f305bfbe71f9b3a987
https://doi.org/10.21203/rs.3.rs-475105/v1
https://doi.org/10.21203/rs.3.rs-475105/v1
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319067636
This paper presents an evaluation of an optimal control-based deformable image registration model and compares it to four well-known variational-based models, namely, elastic, fluid, diffusion and curvature models. Using similarity and deformation qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0628c3e04806e652a002567c3c9eabe9
https://doi.org/10.1007/978-3-319-06764-3_15
https://doi.org/10.1007/978-3-319-06764-3_15