7 citations · 22 across the 6 of their papers we have counts for
6 papers
Multiplierless DFT Approximation Based on the Prime Factor Algorithm
L. Portella, F. M. Bayer, R. J. Cintra
Matrix approximation methods have successfully produced efficient, low-complexity approximate transforms for the discrete cosine transforms and the discrete Fourier transforms. For…
Unit-Modified Weibull Distribution and Quantile Regression Model
João Inácio Scrimini, Cleber Bisognin, Renata Rojas Guerra +1
The Sustainable Development Goals (SDGs) of the United Nations consist of 17 general objectives, subdivided into 169 targets to be achieved by 2030. Several SDG indices and indicat…
Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers
B. G. Palm, F. M. Bayer, R. Machado +3
The presence of outliers (anomalous values) in synthetic aperture radar (SAR) data and the misspecification in statistical image models may result in inaccurate inferences. To avoi…
Prediction Intervals in the Beta Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
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 valu…
Low-complexity Three-dimensional Discrete Hartley Transform Approximations for Medical Image Compression
V. A. Coutinho, F. M. Bayer, R. J. Cintra
The discrete Hartley transform (DHT) is a useful tool for medical image coding. The three-dimensional DHT (3D DHT) can be employed to compress medical image data, such as magnetic…
Low-complexity Rounded KLT Approximation for Image Compression
A. P. Radünz, F. M. Bayer, R. J. Cintra
The Karhunen-Loève transform (KLT) is often used for data decorrelation and dimensionality reduction. Because its computation depends on the matrix of covariances of the input sign…