Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Fábio M. Bayer"'
Autor:
R. J. Cintra, Paulo Martinez, André Leite, Vítor A. Coutinho, Fábio M. Bayer, Arjuna Madanayake, Diego F. G. Coelho
Publikováno v:
Information, Vol 15, Iss 10, p 618 (2024)
An approach to approximate the 2D Gaussian filter for all possible kernel sizes based on the binary optimization technique is introduced. The approximate filter coefficients are designed as negative powers of two, allowing hardware implementation wit
Externí odkaz:
https://doaj.org/article/0783103e74924bd5874d888242218eb2
The Chen Autoregressive Moving Average Model for Modeling Asymmetric Positive Continuous Time Series
Publikováno v:
Symmetry, Vol 15, Iss 9, p 1675 (2023)
In this paper, we introduce a new dynamic model for time series based on the Chen distribution, which is useful for modeling asymmetric, positive, continuous, and time-dependent data. The proposed Chen autoregressive moving average (CHARMA) model com
Externí odkaz:
https://doaj.org/article/24a2e1cf47f342ff873c5afc582f8664
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2853 (2022)
This article introduces exponentiated transmuted-inverted beta (ET-IB) distribution, supported by a continuous positive real line, as a synthetic aperture radar (SAR) imagery descriptor. It is an extension of the inverted beta distribution, an import
Externí odkaz:
https://doaj.org/article/277a31f8509a44a5bc8bcedf96768a76
Autor:
Renato J. Cintra, Fábio M. Bayer
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-7 (2017)
Abstract In [Dhandapani and Ramachandran, “Area and power efficient DCT architecture for image compression”, EURASIP Journal on Advances in Signal Processing 2014, 2014:180] the authors claim to have introduced an approximation for the discrete c
Externí odkaz:
https://doaj.org/article/07273e90c987407d8d2730fa60db847b
Autor:
Bruna G. Palm, Dimas I. Alves, Mats I. Pettersson, Viet T. Vu, Renato Machado, Renato J. Cintra, Fábio M. Bayer, Patrik Dammert, Hans Hellsten
Publikováno v:
Sensors, Vol 20, Iss 7, p 2008 (2020)
This paper presents five different statistical methods for ground scene prediction (GSP) in wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used as a reference image in a change detection algorithm yielding a high pr
Externí odkaz:
https://doaj.org/article/5f4a2c70e6a545bc94c60820e9dd0740
Autor:
Diego F. G. Coelho, Renato J. Cintra, Fábio M. Bayer, Sunera Kulasekera, Arjuna Madanayake, Paulo Martinez, Thiago L. T. Silveira, Raíza S. Oliveira, Vassil S. Dimitrov
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 8, Iss 4, p 46 (2018)
This paper introduced a matrix parametrization method based on the Loeffler discrete cosine transform (DCT) algorithm. As a result, a new class of 8-point DCT approximations was proposed, capable of unifying the mathematical formalism of several 8-po
Externí odkaz:
https://doaj.org/article/0b42cf7a7e2547069e609b1e53e8df55
Publikováno v:
Journal of Signal Processing Systems. 95:495-516
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::402ef1fe67d48b455d5c1f087ca0778f
https://doi.org/10.1007/s11265-023-01848-w
https://doi.org/10.1007/s11265-023-01848-w
Publikováno v:
International Journal of Forecasting. 39:98-109
We evaluate the accuracy of model selection and associated short-run forecasts using beta autoregressive moving average ( β ARMA ) models, which are tailored for modeling and forecasting time series that assume values in the standard unit interval,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7651959ae99a8597c42bc5b4a97792fb
https://doi.org/10.1016/j.ijforecast.2021.09.004
https://doi.org/10.1016/j.ijforecast.2021.09.004
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a435141c724708c12f348076e3d655e8
https://doi.org/10.1109/tgrs.2023.3262480
https://doi.org/10.1109/tgrs.2023.3262480
This paper introduces an adaptive filtering process based on shrinking wavelet coefficients from the corresponding signal wavelet representation. The filtering procedure considers a threshold method determined by an iterative algorithm inspired by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edec8a2f8a4a1a20b60141089408ac5e
http://arxiv.org/abs/2307.10509
http://arxiv.org/abs/2307.10509
