Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tejaswi Nanjundaswamy"'
Publikováno v:
IEEE Transactions on Signal Processing. 69:1787-1796
This paper considers a layered coding framework with a relaxed hierarchical structure, tailored to serve content at multiple quality levels, where a key challenge is the conflict between coding optimality at each layer and efficient use of storage an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ec073c6a5573b2afbabbefe8bbc72f6
https://doi.org/10.1109/tsp.2021.3064281
https://doi.org/10.1109/tsp.2021.3064281
Autor:
Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B.S. Manjunath
Recent advances in machine learning and computer vision have made it simple to manipulate a variety of images, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to remove pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4363ef428d9bb31faf44db296fd80c55
https://doi.org/10.36227/techrxiv.19026266.v1
https://doi.org/10.36227/techrxiv.19026266.v1
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
Adaptive prediction is an important tool for efficient compression of non-stationary signals. A common approach to achieve adaptivity is to switch between a set of prediction modes, designed to capture variations in signal statistics. The design pose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1059300619331de6e4add5a7b9742c3
https://pubmed.ncbi.nlm.nih.gov/34914587
https://pubmed.ncbi.nlm.nih.gov/34914587
Autor:
Ricardo A. S. Fernandes, Tejaswi Nanjundaswamy, Luciano Carli Moreira de Andrade, Kenneth Rose, Mario Oleskovicz
Publikováno v:
Renewable Energy and Power Quality Journal. 17:8-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db8d554b618fa8fffa24fc2f800a2cb
https://doi.org/10.24084/repqj17.202
https://doi.org/10.24084/repqj17.202
Autor:
Kenneth Rose, Mario Oleskovicz, Luciano Carli Moreira de Andrade, Tejaswi Nanjundaswamy, Ricardo A. S. Fernandes
Publikováno v:
Journal of Control, Automation and Electrical Systems. 30:402-412
This research intends to contribute with improvements in the main steps usually implemented for an automatic monitoring of disturbances in the power quality (PQ) context. In a first step, this paper employs a wavelet transform (WT)-based method for d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a35d0e342bdd4ffc7eb6b2853ae87a
https://doi.org/10.1007/s40313-019-00446-1
https://doi.org/10.1007/s40313-019-00446-1
Autor:
Lakshmanan Nataraj, B.S. Manjunath, Michael Goebel, Shivkumar Chandrasekaran, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed
Publikováno v:
Media Watermarking, Security, and Forensics
Recent advances in Generative Adversarial Networks (GANs) have led to the creation of realistic-looking digital images that pose a major challenge to their detection by humans or computers. GANs are used in a wide range of tasks, from modifying small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00504ac80ca08594aa4e4ac29826c98d
Publikováno v:
ICASSP
Adaptive prediction is important in the compression of non-stationary signals, and a common remedy is to switch between appropriately designed prediction modes. This paper presents a near optimal procedure to design prediction modes for an adaptive c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e23d47174a3da9518e312cafa101e9
https://doi.org/10.1109/icassp.2019.8683672
https://doi.org/10.1109/icassp.2019.8683672
Publikováno v:
DCC
Current video coders employ motion compensated pixel-to-pixel prediction, which largely ignores significant spatial correlations and the fact that true temporal correlations vary with spatial frequency. Earlier work from our lab proposed to first spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97679461d52c190740f91aae68d00968
https://doi.org/10.1109/dcc.2019.00027
https://doi.org/10.1109/dcc.2019.00027
Publikováno v:
MMSP
Spherical video is the key driving factor for the growth of virtual reality and augmented reality applications, as it offers truly immersive experience by capturing the entire 3D surroundings. However, it represents an enormous amount of data for sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1957cfef3cb03689fe5909835c1d95f2
https://doi.org/10.1109/mmsp.2018.8547066
https://doi.org/10.1109/mmsp.2018.8547066
Publikováno v:
SSP
This paper investigates state estimation with wireless sensors communicating over unreliable bandwidth-limited networks. Specifically, we consider so-called smart sensors equipped with simple processing units, which enable predictive coding at the se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f6256ad4d9eb8d6f3fb179a78190d03
https://doi.org/10.1109/ssp.2018.8450776
https://doi.org/10.1109/ssp.2018.8450776