Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nikola J. Vučić"'
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
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
Publikováno v:
Elektronika ir Elektrotechnika, Vol 24, Iss 6, Pp 82-86 (2018)
This article investigates switched quantizers for speech signal depicted with Gaussian probability density function (PDF). Gaussian PDF is better for smaller frame lengths that are represented here. Companding technique results in constant Signal to
Externí odkaz:
https://doaj.org/article/3314c68f60d243328c3c372b55e891ee