163 citations · 1.5k across the 45 of their papers we have counts for
16 papers · 1 filter
An Iterative Wavelet Threshold for Signal Denoising
F. M. Bayer, A. J. Kozakevicius, R. J. Cintra
This paper introduces an adaptive filtering process based on shrinking wavelet coefficients from the corresponding signal wavelet representation. The filtering procedure considers…
2-D Rayleigh Autoregressive Moving Average Model for SAR Image Modeling
B. G. Palm, F. M. Bayer, R. J. Cintra
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, rea…
Improved Point Estimation for the Rayleigh Regression Model
B. G. Palm, F. M. Bayer, R. J. Cintra
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 t…
Signal Detection and Inference Based on the Beta Binomial Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
This paper proposes the beta binomial autoregressive moving average model (BBARMA) for modeling quantized amplitude data and bounded count data. The BBARMA model estimates the cond…
Rayleigh Regression Model for Ground Type Detection in SAR Imagery
B. G. Palm, F. M. Bayer, R. J. Cintra +2
This letter proposes a regression model for nonnegative signals. The proposed regression estimates the mean of Rayleigh distributed signals by a structure which includes a set of r…
Beta Autoregressive Fractionally Integrated Moving Average Models
Guilherme Pumi, Marcio Valk, Cleber Bisognin +2
In this work we introduce the class of beta autoregressive fractionally integrated moving average models for continuous random variables taking values in the continuous unit interv…
Beta seasonal autoregressive moving average models
Fábio M. Bayer, Renato J. Cintra, Francisco Cribari-Neto
In this paper we introduce the class of beta seasonal autoregressive moving average (SARMA) models for modeling and forecasting time series data that assume values in the standa…
Beta regression control chart for monitoring fractions and proportions
Fábio Mariano Bayer, Catia Michele Tondolo, Fernanda Maria Müller
Regression control charts are usually used to monitor variables of interest that are related to control variables. However, for fraction and/or proportion data, the use of standard…
Kumaraswamy autoregressive moving average models for double bounded environmental data
Fábio Mariano Bayer, Débora Missio Bayer, Guilherme Pumi
In this paper we introduce the Kumaraswamy autoregressive moving average models (KARMA), which is a dynamic class of models for time series taking values in the double bounded inte…
Variable dispersion beta regressions with parametric link functions
Diego Ramos Canterle, Fábio Mariano Bayer
This paper presents a new class of regression models for continuous data restricted to the interval , such as rates and proportions. The proposed class of models assumes a b…
Bootstrap Bartlett correction in inflated beta regression
Laís H. Loose, Fábio M. Bayer, Tarciana L. Pereira
The inflated beta regression model aims to enable the modeling of responses in the intervals , or . In this model, hypothesis testing is often performed based…
A Class of DCT Approximations Based on the Feig-Winograd Algorithm
C. J. Tablada, F. M. Bayer, R. J. Cintra
A new class of matrices based on a parametrization of the Feig-Winograd factorization of 8-point DCT is proposed. Such parametrization induces a matrix subspace, which unifies a nu…
Bartlett corrections in beta regression models
Fábio M. Bayer, Francisco Cribari-Neto
We consider the issue of performing accurate small-sample testing inference in beta regression models, which are useful for modeling continuous variates that assume values in $(0,1…
A Discrete Tchebichef Transform Approximation for Image and Video Coding
P. A. M. Oliveira, R. J. Cintra, F. M. Bayer +2
In this paper, we introduce a low-complexity approximation for the discrete Tchebichef transform (DTT). The proposed forward and inverse transforms are multiplication-free and requ…
Multi-Beam RF Aperture Using Multiplierless FFT Approximation
D. Suarez, R. J. Cintra, F. M. Bayer +3
Multiple independent radio frequency (RF) beams find applications in communications, radio astronomy, radar, and microwave imaging. An -point FFT applied spatially across an arr…
Low-complexity 8-point DCT Approximations Based on Integer Functions
R. J. Cintra, F. M. Bayer, C. J. Tablada
In this paper, we propose a collection of approximations for the 8-point discrete cosine transform (DCT) based on integer functions. Approximations could be systematically obtained…