Zobrazeno 1 - 10
of 40
pro vyhledávání: '"M. Bayer"'
Publikováno v:
Statistics in Medicine. 42:1822-1867
We present several related methods for creating confidence intervals to assess disease prevalence in variety of survey sampling settings. These include simple random samples with imperfect tests, weighted sampling with perfect tests, and weighted sam
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
The Rayleigh regression model was recently proposed for modeling amplitude values of synthetic aperture radar (SAR) image pixels. However, inferences from such model are based on the maximum likelihood estimators, which can be biased for small signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3a0d9a01b225eed444fb8effb7f2fe8
http://arxiv.org/abs/2208.03611
http://arxiv.org/abs/2208.03611
In this paper, two 8-point multiplication-free DCT approximations based on the Chen's factorization are proposed and their fast algorithms are also derived. Both transformations are assessed in terms of computational cost, error energy, and coding ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7436b366fcf0102b376b853289f3cab
http://arxiv.org/abs/2207.11638
http://arxiv.org/abs/2207.11638
In this paper, we propose five prediction intervals for the beta autoregressive moving average model. This model is suitable for modeling and forecasting variables that assume values in the interval $(0,1)$. Two of the proposed prediction intervals a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf85915f6b51ab524026eb7fb89880d
http://arxiv.org/abs/2207.11628
http://arxiv.org/abs/2207.11628
Two-dimensional (2-D) autoregressive moving average (ARMA) models are commonly applied to describe real-world image data, usually assuming Gaussian or symmetric noise. However, real-world data often present non-Gaussian signals, with asymmetrical dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1180b5179d461ccfbe3dfc434136c061
Autor:
Theodore S. Rappaport, Arjuna Madanayake, Leonid Belostotski, Suresh Madishetty, Renato J. Cintra, Raiza Oliviera, Fábio M. Bayer, Soumyajit Mandal, Diego F. G. Coelho, Sravan Pulipati, Viduneth Ariyarathna
Millimeter wave communications require multibeam beamforming in order to utilize wireless channels that suffer from obstructions, path loss, and multi-path effects. Digital multibeam beamforming has maximum degrees of freedom compared to analog phase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3963f05c442489135baeb4dc5087a5
Autor:
Thiago L. T. da Silveira, Diego Ramos Canterle, Diego F. G. Coelho, Vitor A. Coutinho, Fabio M. Bayer, Renato J. Cintra
The discrete cosine transform (DCT) is a relevant tool in signal processing applications, mainly known for its good decorrelation properties. Current image and video coding standards -- such as JPEG and HEVC -- adopt the DCT as a fundamental building
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c7e5333201a5404100d590c2ed35912
Autor:
Viduneth Ariyarathna, Najath Akram, Vitor A. Coutinho, Diego F. G. Coelho, Arjuna Madanayake, Fábio M. Bayer, Renato J. Cintra, Soumyajit Mandal, Theodore S. Rappaport
Publikováno v:
IEEE Access, Vol 8, Pp 96613-96627 (2020)
The discrete Fourier transform (DFT) is widely employed for multi-beam digital beamforming. The DFT can be efficiently implemented through the use of fast Fourier transform (FFT) algorithms, thus reducing chip area, power consumption, processing time
The Karhunen-Lo\`eve transform (KLT) is often used for data decorrelation and dimensionality reduction. Because its computation depends on the matrix of covariances of the input signal, the use of the KLT in real-time applications is severely constra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b8796c0abb50757f1b06740ea6c5e0d
http://arxiv.org/abs/2111.14239
http://arxiv.org/abs/2111.14239