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20152023
most citedAn Iterative Wavelet Threshold for Signal Denoising

163 citations · 343 across the 13 of their papers we have counts for

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7 papers · 1 filter

stat.ME2023163 cited

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…

stat.ME202210 cited

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…

stat.ME20226 cited

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…

stat.ME202211 cited

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…

stat.ME20225 cited

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…

stat.ME202224 cited

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…