Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zoran H. Perić"'
Publikováno v:
Mathematics, Vol 11, Iss 3, p 498 (2023)
The sounds of certain industrial products (machines) carry important information about these products. Product classification or malfunction detection can be performed utilizing a product’s sound. In this regard, sound can be used as it is or it ca
Externí odkaz:
https://doaj.org/article/88e55c8a0d194ef9a4be06e4cd0fd714
Autor:
Zoran H. Perić, Milan R. Dinčić
Publikováno v:
Mathematics, Vol 11, Iss 3, p 568 (2023)
The 32-bit floating-point (FP32) binary format, commonly used for data representation in computers, introduces high complexity, requiring powerful and expensive hardware for data processing and high energy consumption, hence being unsuitable for impl
Externí odkaz:
https://doaj.org/article/e50f489fa0f04fce88c58619a6a18140
Publikováno v:
Information Technology and Control. 51:625-637
The main issue when dealing with the non-adaptive scalar quantizers is their sensitivity to variance-mismatch, the effect that occurs when the data variance differs from the one used for the quantizer design. In this paper, we consider the influence
Publikováno v:
Measurement. 217:113037
Autor:
Nikola B. Dankovic, Zoran H. Peric, Dragan S. Antic, Aleksandar V. Jocic, Sasa S. Nikolic, Petar B. Djekic
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 4, Pp 43-51 (2024)
This paper considers the robustness of the differential pulse-code modulation system with higher-order predictors. Special attention is paid to the robust parametric stability of the prediction filters with respect to the predictor coefficients. A ge
Externí odkaz:
https://doaj.org/article/9bdd3a22203348edbc72be3719bc163e
Autor:
Aleksandar S. Stanimirovic, Mina S. Nikolic, Jelena J. Jovic, Dragana I. Ignjatovic Ristic, Aleksandar M. Corac, Leonid V. Stoimenov, Zoran H. Peric
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 2, Pp 63-72 (2024)
This research focusses on the potential application of artificial intelligence (AI) techniques in the analysis of behavioural addictions, specifically addressing problematic Internet use among adolescents. Using tabular data from a representative sam
Externí odkaz:
https://doaj.org/article/3054e4b7228d442b80944f3498d3db55
Publikováno v:
Elektronika ir Elektrotechnika, Vol 28, Iss 3, Pp 37-44 (2022)
Three main approaches on how audio signals can be used as input to a deep learning model are: extracting hand-crafted features from audio signals, mapping audio signals into appropriate images such as spectrogram-like ones, and using directly raw aud
Externí odkaz:
https://doaj.org/article/d451d7687c5f4b7f9a05d94dbb022c67
Publikováno v:
Elektronika ir Elektrotechnika, Vol 27, Iss 4, Pp 55-61 (2021)
This paper considers the design of a binary scalar quantizer of Laplacian source and its application in compressed neural networks. The quantizer performance is investigated in a wide dynamic range of data variances, and for that purpose, we derive n
Externí odkaz:
https://doaj.org/article/585879c746ae445e99860eea5251e2b0
Autor:
Marko T. Milojkovic, Andjela D. Djordjevic, Stanisa Lj. Peric, Miroslav B. Milovanovic, Zoran H. Peric, Nikola B. Dankovic
Publikováno v:
Elektronika ir Elektrotechnika, Vol 27, Iss 2, Pp 4-10 (2021)
This paper considers a new design of model predictive control based on specific models in the form of adaptive orthogonal polynomial networks, built around a specially tailored basis of generalized orthogonal functions. Polynomial model has a single
Externí odkaz:
https://doaj.org/article/069399c1e4984345a8b2a8973741c8af
Publikováno v:
IEEE Access, Vol 9, Pp 4072-4083 (2021)
In this paper we address hybrid probabilistic-geometric constellation shaping (HCS) of amplitude phase shift keying (APSK) constellation based on the reversed model of optimal companding quantization for circularly symmetric sources with the goal to
Externí odkaz:
https://doaj.org/article/a97df366c90c457caf0fab5deb190c88