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-resolution reconstruction, efficient prior knowledge should be estimated . The statistics of gradient priors in terms of priority map based on separable gradient estimation , maximum likelihood edge estimation ...
We develop a method for calculating the minimum X-ray exposure time for X-ray solution scattering experiments using statistical and mathematical approaches to enhance the measurement efficiency ...
. We heavily use this approach to efficiently estimate the power spectrum, by performing a simulation-based analysis of the optimal quadratic estimator . We further evaluate the quality ...
In this paper, we propose a statistical model-based speech enhancement technique using the spectral difference scheme for the speech recognition in virtual reality. In the analyzing step, two ...
statistical behavior of correlation-based estimates to show erroneous determination of activity under non-uniform illumination or varying reflectivity across the object surface for nonnormalized algorithms ...
Characteristics of noise (type, statistics , spatial correlation) are nowadays exploited in many image denoising and enhancement methods. However, these characteristics are often unknown ...
the quality of images by enhancing their contrast and preserving the brightness. The statistical transformation function, which helps to improve the contrast, is based on a parameter set estimated through ...
with quality scalability and spatial scalability. First, the depth range of the coding tree units is estimated from a reference table generated from a statistical probability distribution based ...
Abstract: The RTS smoother is widely used for state estimation and it is utilized here to increase the data quality with respect to physical coherence and to increase resolution. The purpose ...
for the actual numerical implementations. Moreover, we verify the quality of our estimator through numerical experiments in the context of EIG estimation . Specifically, we compare the computational efficiency ...
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