Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Challa S. Sastry"'
Publikováno v:
In Artificial Intelligence In Medicine May 2018 87:91-104
Publikováno v:
IEEE Signal Processing Letters. 28:882-886
The construction of binary matrices has attained significance due to its potential for hardware-friendly implementation and appealing applications in compressed sensing (CS). A class of binary matrices with low coherence and flexible row sizes can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db0559cc07223dd3e0409474349828f
https://doi.org/10.1109/lsp.2021.3072572
https://doi.org/10.1109/lsp.2021.3072572
Publikováno v:
Journal of Combinatorics, Information & System Sciences. 44:285-298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::874830b2966ba76a43e562b9c2b8924b
https://doi.org/10.32381/jciss.2019.44.1-4.15
https://doi.org/10.32381/jciss.2019.44.1-4.15
Autor:
Sumohana S. Channappayya, Challa S. Sastry, K. V. V. Durga Prasad, M. Amarlingam, Pachamuthu Rajalakshmi
Publikováno v:
IEEE Transactions on Green Communications and Networking. 4:717-730
Sensor nodes used in typical monitoring applications of the Internet of Things (IoT) are an on-board resource (energy, memory, computational capability) constrained devices. The existing data aggregation algorithms have proven that compressed sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9ef8131fb78c22704dc269b41818b61
https://doi.org/10.1109/tgcn.2020.2966798
https://doi.org/10.1109/tgcn.2020.2966798
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811650772
In Compressed Sensing (CS), Orthogonal Matching Pursuit (OMP) is a popular solver for recovering the sparse solution of an underdetermined system. The performance guarantees of OMP involving coherence-based arguments are known to be pessimistic. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b69518c07a1400ab2444f14cada9ed9
https://doi.org/10.1007/978-981-16-5078-9_19
https://doi.org/10.1007/978-981-16-5078-9_19
Autor:
Challa S. Sastry, Pradeep Kumar Mishra, Pachamuthu Rajalakshmi, Sumohana S. Channappayya, M Amarlingam
Publikováno v:
Journal of Network and Computer Applications. 121:119-134
Optimal data aggregation aimed at maximizing IoT network lifetime by minimizing constrained on-board resource utilization continues to be a challenging task. The existing data aggregation methods have proven that compressed sensing is promising for d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1470555cb34b6c3ab6a715c8fc009298
https://doi.org/10.1016/j.jnca.2018.08.004
https://doi.org/10.1016/j.jnca.2018.08.004
Publikováno v:
Journal of Applied Mathematics and Computing. 59:285-303
Computed Tomography (CT) is one of the significant research areas in the field of medical image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it is necessary to reduce the X-ray dosage while also maintaining good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed24fffeb3dd92e82a47e53c5ad6a81f
https://doi.org/10.1007/s12190-018-1180-1
https://doi.org/10.1007/s12190-018-1180-1
Publikováno v:
Measurement Science and Technology. 33:034003
The sub-sampling strategies in x-ray computed tomography (CT) have gained importance due to their practical relevance. In this direction of research, also known as coded aperture x-ray computed tomography (CAXCT), both random and deterministic strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9aeaa5f746aab3dd46e6c24ab6aea27
https://doi.org/10.1088/1361-6501/ac39d2
https://doi.org/10.1088/1361-6501/ac39d2
Publikováno v:
IndraStra Global.
Unit norm tight frames are useful in providing stable reconstruction. Incoherence, restricted isometry property and statistical restricted isometry property of a frame provide performance guarantees of sparse signal recovery algorithms in compressed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cc25f13b64512423fcdce671460eb33
http://eprints.iisc.ac.in/63548/1/jou_com_54_2019.pdf
http://eprints.iisc.ac.in/63548/1/jou_com_54_2019.pdf
Publikováno v:
IEEE Transactions on Signal Processing. 64:3566-3575
In compressed sensing the matrices that satisfy the Restricted Isometry Property (RIP) play an important role. To date, however, very few results for designing such matrices are available. For applications such as multiplier-less data compression, bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::219735f4ebf43ca221475c31cf7184d1
https://doi.org/10.1109/tsp.2016.2550020
https://doi.org/10.1109/tsp.2016.2550020