Results 211 to 220 of about 493,391 (248)

Root mean square error or mean absolute error? Use their ratio as well

Information Sciences, 2022
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exaly   +2 more sources

Stack filters and the mean absolute error criterion

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
A method to determine the stack filter which minimizes the mean absolute error between its output and a desired signal, given noisy observations of this desired signal, is presented. Specifically, an optimal window-width-b stack filter can be determined with a linear program with O(b2/sup b/) variables.
E J Coyle, J -H Lin
exaly   +3 more sources

Rank order operators and the mean absolute error criterion

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
The analysis of the mean absolute error for rank order filters is discussed. These filters are a subset of a larger class of nonlinear filters, called stack filters, which obey two basic properties: a) a weak superposition property, the so-called threshold decomposition and b) an ordering property called the stacking property.
E J Coyle
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A Weighted Mean Absolute Error Metric for Image Quality Assessment

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020
Pixel-wise image quality assessment (IQA) algorithms, such as mean square error (MSE), mean absolute error (MAE) and peak signal-to-noise ratio (PSNR) correlate well with perceptual quality when dealing with images sharing the same distortion type but not well when processing images in different distortion types, which is inconsistent with human visual
Sumei Li
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Assessing the statistical characteristics of the mean absolute error or forecasting

International Journal of Forecasting, 1991
Abstract This paper assesses some general statistical characteristics of the mean absolute error of forecasting (MAEF). It shows that the MAEF is the sample estimate of the expected value of the absolute error of forecasting, and derives its mean and variance.
Wen Lea Pearn
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On the mean squared error, the mean absolute error and the like

Communications in Statistics - Theory and Methods, 1999
The problem of finding the minimizer of the rth -mean error , is revisited, via a unified approach. The approach is discussed for arbitrary r and is illustrated for r = 1 (mean absolute error)r = 2 (mean squared error), and r = 4. This approach is also discussed in the context of maximum likelihood estimation in a class of symmetric distributions which
Shaul K. Bar-Lev, Benzion Boukai, Peter Enis   +2 more
openaire   +1 more source

Minimum mean absolute error nonlinear filtering

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A class of sliding window operators called generalized stack filters is developed. This class of filters, which includes all rank order filters, stack filters, and digital morphological filters, is the set of all filters possessing the threshold decomposition architecture and a consistency property, called the stacking property.
Jean-Hsang Lin, Edward J. Coyle
openaire   +1 more source

Quantization Based on the Mean-Absolute-Error Criterion

IEEE Transactions on Communications, 1978
Performance criteria for the design of optimum quantizers are considered. A distance criterion for quantizer input and output probability distribution functions is formulated, and its relationship to the usual distortion criteria is established.
openaire   +2 more sources