Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Zoran Perić"'
Publikováno v:
IET Communications, Vol 15, Iss 5, Pp 723-729 (2021)
Abstract Design of optimal and asymptotically optimal quantisation subject to the mean squared error (MSE) criterion is a complex issue, even in the case of uniform scalar quantisation (USQ). The reason is that the MSE distortion dependence on the ke
Externí odkaz:
https://doaj.org/article/fef59af979cf45dbb0bcec47be845df5
Autor:
Zoran Perić, Aleksandar Marković, Nataša Kontrec, Jelena Nikolić, Marko D. Petković, Aleksandra Jovanović
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3590 (2022)
The Gaussian Q-function has considerable applications in numerous areas of science and engineering. However, the fact that a closed-form expression for this function does not exist encourages finding approximations or bounds of the Q-function. In thi
Externí odkaz:
https://doaj.org/article/08a84e5f58eb486bac001094e4d637d0
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3435 (2022)
With increased network downsizing and cost minimization in deployment of neural network (NN) models, the utilization of edge computing takes a significant place in modern artificial intelligence today. To bridge the memory constraints of less-capable
Externí odkaz:
https://doaj.org/article/519a4c2751a2452990cc1dc90fa99659
Publikováno v:
Entropy, Vol 24, Iss 3, p 414 (2022)
Speaker recognition is an important classification task, which can be solved using several approaches. Although building a speaker recognition model on a closed set of speakers under neutral speaking conditions is a well-researched task and there are
Externí odkaz:
https://doaj.org/article/bfa0ba9560ea4ccb8a310f93b3a49240
Autor:
Kathryn E. Fitzsimmons, Zoran Perić, Maike Nowatzki, Susanne Lindauer, Mathias Vinnepand, Charlotte Prud’homme, Aditi K. Dave, Andreas Vött, Peter Fischer
Publikováno v:
Quaternary, Vol 5, Iss 1, p 1 (2021)
Loess provides a valuable terrestrial record of past environmental conditions, including the dynamics and trajectories of air mass circulation responsible for dust transport. Here we explore variations in the luminescence sensitivity characteristics
Externí odkaz:
https://doaj.org/article/7c31dbd95fa1444eaeac5395f8f75c74
Publikováno v:
Entropy, Vol 23, Iss 12, p 1699 (2021)
Driven by the need for the compression of weights in neural networks (NNs), which is especially beneficial for edge devices with a constrained resource, and by the need to utilize the simplest possible quantization model, in this paper, we study the
Externí odkaz:
https://doaj.org/article/05359ae7cd8a4ca783588d9341048603
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3091 (2021)
Motivated by the fact that uniform quantization is not suitable for signals having non-uniform probability density functions (pdfs), as the Laplacian pdf is, in this paper we have divided the support region of the quantizer into two disjunctive regio
Externí odkaz:
https://doaj.org/article/528de816979840edaf73bf81d4918967
Publikováno v:
Entropy, Vol 23, Iss 8, p 933 (2021)
Achieving real-time inference is one of the major issues in contemporary neural network applications, as complex algorithms are frequently being deployed to mobile devices that have constrained storage and computing power. Moving from a full-precisio
Externí odkaz:
https://doaj.org/article/03beb2cc68574bf59141588d8f173757
Publikováno v:
2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ff8121da87b05cb46afb1e8c823651
https://doi.org/10.1109/atee58038.2023.10108130
https://doi.org/10.1109/atee58038.2023.10108130
Autor:
Milivoj B. Gavrilov, Wenling An, Chenxi Xu, Milica G. Radaković, Qingzhen Hao, Fan Yang, Zhengtang Guo, Zoran Perić, Gavrilo Gavrilov, Slobodan B. Marković
Publikováno v:
Atmosphere, Vol 10, Iss 10, p 586 (2019)
In this study, aridity data and tree ring data were collected in Northern Serbia, in Southeast (SE) Banat, a subregion within Vojvodina, and Vojvodina at large. They were each investigated independently. The De Martonne Aridity Index and the Forestry
Externí odkaz:
https://doaj.org/article/a57e85fac6644e979607ce085951ca88