Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Joshin P. Krishnan"'
Publikováno v:
IEEE Access, Vol 8, Pp 161052-161066 (2020)
Interferometric phase (InPhase) estimation, that is, the denoising of modulo-2π phase images from sinusoidal 2π-periodic and noisy observations, is a challenging inverse problem with wide applications in many coherent imaging techniques. This paper
Externí odkaz:
https://doaj.org/article/5ac404d063d5467ca58794cdfc877651
Publikováno v:
IEEE Access, Vol 7, Pp 120708-120723 (2019)
Interferometric phase (InPhase) images, acquired by phase imaging systems, often suffer from two major degradations: 1) phase wrapping, caused by the sinusoidal 2π-periodic sensing mechanism, and 2) noise, introduced by the acquisition process or th
Externí odkaz:
https://doaj.org/article/7250601bcf094486bc25af30f26456ac
Publikováno v:
Sensors, Vol 18, Iss 11, p 4006 (2018)
This paper proposes a novel algorithm for image phase retrieval, i.e., for recovering complex-valued images from the amplitudes of noisy linear combinations (often the Fourier transform) of the sought complex images. The algorithm is developed using
Externí odkaz:
https://doaj.org/article/14bd7f57045f4cd08f7fcd453d82809f
An online nonlinear topology identification algorithm termed RFNL-TIRSO is proposed in the paper. The multivariate time series data received in sequential form is processed online to estimate time-varying nonlinear dependencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f8172aaf14ce55515a8526b1f143161
https://doi.org/10.36227/techrxiv.19210092
https://doi.org/10.36227/techrxiv.19210092
An online nonlinear topology identification algorithm termed RFNL-TIRSO is proposed in the paper. The multivariate time series data received in sequential form is processed online to estimate time-varying nonlinear dependencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dddedb00a09ca4b6eb74aeb1a809e3f3
https://doi.org/10.36227/techrxiv.19210092.v2
https://doi.org/10.36227/techrxiv.19210092.v2
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
Pumps consume a significant amount of energy in a water distribution network (WDN). With the emergence of dynamic energy cost, the pump scheduling as per user demand is a computationally challenging task. Computing the decision variables of pump sche
Publikováno v:
IEEE Access, Vol 7, Pp 120708-120723 (2019)
Interferometric phase (InPhase) imaging is an important part of many present-day coherent imaging technologies. Often in such imaging techniques, the acquired images, known as interferograms, suffer from two major degradations: 1) phase wrapping caus
Publikováno v:
MLSP
Online topology estimation of graph-connected time series is challenging, especially since the causal dependencies in many real-world networks are nonlinear. In this paper, we propose a kernel-based algorithm for graph topology estimation. The algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bc0f25665e34d5c036459d5d783cdd4
Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical systems, and finance engineering. Inference of such caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4718303f80d0f7f1182e5aa05acffeb3
Autor:
Linga Reddy Cenkeramaddi, Diego F. Larios Marin, Jyotirmoy Bhardwaj, Joshin P. Krishnan, Baltasar Beferull-Lozano, Christopher Harman
Publikováno v:
26447-26469
IEEE Sensors Journal
IEEE Sensors Journal
Author's accepted manuscript. There is a growing demand to equip Smart Water Networks (SWN) with advanced sensing and computation capabilities in order to detect anomalies and apply autonomous event-triggered control. Cyber-Physical Systems (CPSs) ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bedc484f865794af5beef238ce76b6b
https://hdl.handle.net/11250/2838921
https://hdl.handle.net/11250/2838921