Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Nicoletta Saulig"'
Autor:
Miloš Milovanović, Nicoletta Saulig
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1850 (2024)
The paper investigates the problem of the time arrow in terms of artistic creation. The statistical model of artwork signal processing is established in order to identify a duality relation between psychological and intrinsic time. The intrinsic time
Externí odkaz:
https://doaj.org/article/1f400b8b313e405593734e2e01d64970
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-19 (2020)
Abstract The paper proposes a novel approach for extraction of useful information and blind source separation of signal components from noisy data in the time-frequency domain. The method is based on the local Rényi entropy calculated inside adaptiv
Externí odkaz:
https://doaj.org/article/09ab78d7fdb24eddb5855f5de0e867bf
Autor:
Miloš Milovanović, Nicoletta Saulig
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4294 (2022)
The link between classical and quantum theories is discussed in terms of extensional and intensional viewpoints. The paper aims to bring evidence that classical and quantum probabilities are related by intensionalization, which means that by abandoni
Externí odkaz:
https://doaj.org/article/40ee12bc046f4b8c834c64c7048d2267
Publikováno v:
Sensors, Vol 22, Iss 21, p 8251 (2022)
This paper approaches the problem of signal denoising in time-variable noise conditions. Non-stationary noise results in variable degradation of the signal’s useful information content over time. In order to maximize the correct recovery of the use
Externí odkaz:
https://doaj.org/article/5ca9da2ba2ba49b984bd0b423bda0a2d
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-14 (2019)
Abstract In this paper, the problem of detection of small signal-to-noise ratio (SNR) variations in noisy signals is addressed in order to provide an efficient and fast method for detection of faulty electroencephalogram (EEG) electrodes which can im
Externí odkaz:
https://doaj.org/article/1dc510f7957a47fdb6a9920f1782f259
Publikováno v:
Sensors, Vol 22, Iss 10, p 3727 (2022)
This paper explores three groups of time–frequency distributions: the Cohen’s, affine, and reassigned classes of time–frequency representations (TFRs). This study provides detailed insight into the theory behind the selected TFRs belonging to t
Externí odkaz:
https://doaj.org/article/a05176928d264974926fd0a0dac1f0f1
Publikováno v:
Tehnički Vjesnik, Vol 25, Iss Supplement 1, Pp 1-6 (2018)
In various applications, reducing noise from video sequence is of crucial importance. In this paper, we have presented performance analysis of the novel video denoising method based on the relative intersection of confidence intervals (RICI) rule, an
Externí odkaz:
https://doaj.org/article/292f643e0e7a48d0a4e53a3043d6d40c
Publikováno v:
Mathematics, Vol 9, Iss 12, p 1452 (2021)
This paper considers the time continuum of Brouwer in terms of the complex system physics. It is based upon a processual definition of real numbers which concern the measurement problem. The multiresolution hierarchy of the measurement process is rep
Externí odkaz:
https://doaj.org/article/007ec8cfad8c44029298b64049d5e3f6
Publikováno v:
Mathematics, Vol 9, Iss 4, p 451 (2021)
Electroencephalogram (EEG) signals are known to contain signatures of stimuli that induce brain activities. However, detecting these signatures to classify captured EEG waveforms is one of the most challenging tasks of EEG analysis. This paper propos
Externí odkaz:
https://doaj.org/article/2177dd27e26b4d32845bee7b51c1e2f6
Publikováno v:
IEEE Transactions on Signal Processing. 70:5504-5517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d17ee793232413e376259d930d868a76
https://doi.org/10.1109/tsp.2022.3223575
https://doi.org/10.1109/tsp.2022.3223575