This paper introduces an adaptive filtering process based on shrinking
w...
In this paper, we introduce low-complexity multidimensional discrete cos...
Two-dimensional (2-D) autoregressive moving average (ARMA) models are
co...
The Rayleigh regression model was recently proposed for modeling amplitu...
The presence of outliers (anomalous values) in synthetic aperture radar ...
This paper proposes the beta binomial autoregressive moving average mode...
This paper introduced a matrix parametrization method based on the Loeff...
In this paper, two 8-point multiplication-free DCT approximations based ...
In this paper, we propose five prediction intervals for the beta
autoreg...
This paper presents five different statistical methods for ground scene
...
This letter proposes a regression model for nonnegative signals. The pro...
The discrete Fourier transform (DFT) is widely employed for multi-beam
d...
Change detection is an important synthetic aperture radar (SAR) applicat...
The discrete Hartley transform (DHT) is a useful tool for medical image
...
The discrete cosine transform (DCT) is a relevant tool in signal process...
The Karhunen-Loève transform (KLT) is often used for data decorrelation ...
The Karhunen-Loève transform (KLT) is often used for data decorrelation ...
Discrete transforms play an important role in many signal processing
app...
The principal component analysis (PCA) is widely used for data decorrela...
The discrete cosine transform (DCT) is the key step in many image and vi...
The usage of linear transformations has great relevance for data
decorre...
An orthogonal 16-point approximate discrete cosine transform (DCT) is
in...
A low-complexity orthogonal multiplierless approximation for the 16-poin...
A new class of matrices based on a parametrization of the Feig-Winograd
...
In this paper, we introduce a low-complexity approximation for the discr...
Video processing systems such as HEVC requiring low energy consumption n...