Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Ian K. Proudler"'
Publikováno v:
IEEE Access, Vol 12, Pp 166652-166659 (2024)
Broadband sensor array problems can be formulated using parahermitian polynomial matrices, and the optimal solution to these problems can be based on the eigenvalue decomposition (EVD) of these matrices. An algorithm has been proposed in the past to
Externí odkaz:
https://doaj.org/article/2e2602e982c74565bf1fb062a2f2a0a6
Publikováno v:
IEEE Transactions on Signal Processing. 71:1642-1656
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e795a7c2859677de15a9ef4247d19b3d
https://doi.org/10.1109/tsp.2023.3269664
https://doi.org/10.1109/tsp.2023.3269664
Publikováno v:
Sun, M, Davies, M E, Proudler, I & Hopgood, J R 2023, ' Adaptive Kernel Kalman Filter ', IEEE Transactions on Signal Processing, vol. 71, pp. 713-726 . https://doi.org/10.1109/TSP.2023.3250829
Sequential Bayesian filters in non-linear dynamic systems require the recursive estimation of the predictive and posterior distributions. This paper introduces a Bayesian filter called the adaptive kernel Kalman filter (AKKF). With this filter, the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f106c6418596eef9854631f7114459
https://doi.org/10.1109/tsp.2023.3250829
https://doi.org/10.1109/tsp.2023.3250829
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::099998970eb869ed929915b09e2a1807
https://doi.org/10.1109/ieeeconf56349.2022.10052053
https://doi.org/10.1109/ieeeconf56349.2022.10052053
Publikováno v:
2022 International Conference on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07704b572bbf18763b7b55149e84d3a
https://doi.org/10.1109/raeecs56511.2022.9954500
https://doi.org/10.1109/raeecs56511.2022.9954500
The error inflicted on a space-time covariance estimate due to the availability of only finite data is known to perturb the eigenvalues and eigenspaces of its $z$-domain equivalent, i.e., the cross-spectral density matrix. In this paper, we show that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead10a60fb47a53185a399d5ff81ebe0
https://strathprints.strath.ac.uk/81544/13/Khattak_etal_SSPD_2022_Enhanced_space_time_covariance_estimation_based_on_a_system_identification_approach.pdf
https://strathprints.strath.ac.uk/81544/13/Khattak_etal_SSPD_2022_Enhanced_space_time_covariance_estimation_based_on_a_system_identification_approach.pdf
Publikováno v:
Sun, M, Davies, M E, Proudler, I & Hopgood, J R 2022, ' Adaptive Kernel Kalman Filter based Belief Propagation Algorithm for Maneuvering Multi-target Tracking ', IEEE Signal Processing Letters, vol. 29, pp. 1452-1456 . https://doi.org/10.1109/LSP.2022.3184534
This letter incorporates the adaptive kernel Kalman filter (AKKF) into the belief propagation (BP) algorithm for Multi-target tracking (MTT) in single-sensor systems. The algorithm is capable of tracking an unknown and time-varying number of targets,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a446439e76adc17c3b9e7c1c61eaa33e
https://hdl.handle.net/20.500.11820/8dc2da5a-82ad-41fa-8f0d-fc4b6623123a
https://hdl.handle.net/20.500.11820/8dc2da5a-82ad-41fa-8f0d-fc4b6623123a
Publikováno v:
2021 Sensor Signal Processing for Defence Conference (SSPD).
We investigate the detection of broadband weak transient signals by monitoring a projection of the measurement data onto the noise-only subspace derived from the stationary sources. This projection utilises a broadband subspace decomposition of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1fdc990bcb53045de72634450f17342
https://doi.org/10.1109/sspd51364.2021.9541472
https://doi.org/10.1109/sspd51364.2021.9541472
Publikováno v:
2021 Sensor Signal Processing for Defence Conference (SSPD).
The second order sequential best rotation (SBR2) algorithm is a popular algorithm to decompose a parahermitian matrix into approximate polynomial eigenvalues and eigenvectors. The work horse behind SBR2 is a Givens rotation interspersed by delay oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da1256feb92e2a0099ebfe17bb69a605
https://doi.org/10.1109/sspd51364.2021.9541430
https://doi.org/10.1109/sspd51364.2021.9541430
Publikováno v:
2021 Sensor Signal Processing for Defence Conference (SSPD).
Graph filters (GFs) have attracted great interest since they can be directly implemented in a diffused way. Thus it is interesting to investigate GFs to implement signal processing operations in a distributed manner. However, in most GF models, the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da7ea6652cc3ae6849b57086c3efdee5
https://doi.org/10.1109/sspd51364.2021.9541468
https://doi.org/10.1109/sspd51364.2021.9541468