Zobrazeno 1 - 10
of 571
pro vyhledávání: '"Bayer, P. M."'
Publikováno v:
Hydrological Sciences Journal, Volume 64, 2019
The Pettitt test has been widely used in climate change and hydrological analyzes. However, studies evidence difficulties of this test in detecting change points, especially in small samples. This study presents a bootstrap application of the Pettitt
Externí odkaz:
http://arxiv.org/abs/2411.05233
Autor:
Chen, Xinjie, Ocampo-Pineda, Mario, Lu, Po-Jui, Ekerdt, Clara, Weigel, Matthias, Jansen, Michelle G., Cagol, Alessandro, Chan, Kwok-Shing, Schädelin, Sabine, Zwiers, Marcel, Oosterman, Joukje M., Norris, David G., Bayer, Johanna M. M., Marquand, Andre F., Menks, Willeke M., Kuhle, Jens, Kappos, Ludwig, Melie-Garcia, Lester, Granziera, Cristina, Marques, José P.
Background: Brain maturation and aging involve significant microstructural changes, resulting in functional and cognitive alterations. Quantitative MRI (qMRI) can measure this evolution, distinguishing the physiological effects of normal aging from p
Externí odkaz:
http://arxiv.org/abs/2411.00661
Publikováno v:
J Sign Process Syst 95, 495-516 (2023)
The discrete cosine transform (DCT) is a central tool for image and video coding because it can be related to the Karhunen-Lo\`eve transform (KLT), which is the optimal transform in terms of retained transform coefficients and data decorrelation. In
Externí odkaz:
http://arxiv.org/abs/2410.15244
Publikováno v:
Multimedia Tools and Applications, 83(26):67303--67325, January 2024
The Karhunen-Lo\`eve transform (KLT) stands as a well-established discrete transform, demonstrating optimal characteristics in data decorrelation and dimensionality reduction. Its ability to condense energy compression into a select few main componen
Externí odkaz:
http://arxiv.org/abs/2410.09227
Autor:
Bayer, Margaret M., Borgwardt, Steffen, Chambers, Teressa, Daugherty, Spencer, Dawkins, Aleyah, Deligeorgaki, Danai, Liao, Hsin-Chieh, McAllister, Tyrrell, Morrison, Angela, Nelson, Garrett, Vindas-Meléndez, Andrés R.
For $\mathbf{b}=(b_1,\dots,b_n)\in \mathbb{Z}_{>0}^n$, a $\mathbf{b}$-parking function is defined to be a sequence $(\beta_1,\dots,\beta_n)$ of positive integers whose nondecreasing rearrangement $\beta'_1\leq \beta'_2\leq \cdots \leq \beta'_n$ satis
Externí odkaz:
http://arxiv.org/abs/2403.07387
Publikováno v:
Signal Processing, Volume 162, September 2019, Pages 10-20
This paper introduces an adaptive filtering process based on shrinking wavelet coefficients from the corresponding signal wavelet representation. The filtering procedure considers a threshold method determined by an iterative algorithm inspired by th
Externí odkaz:
http://arxiv.org/abs/2307.10509
Publikováno v:
IEEE Transactions on Image Processing, Volume 26, Issue 5, May 2017
In this paper, we introduce low-complexity multidimensional discrete cosine transform (DCT) approximations. Three dimensional DCT (3D DCT) approximations are formalized in terms of high-order tensor theory. The formulation is extended to higher dimen
Externí odkaz:
http://arxiv.org/abs/2306.11724
Publikováno v:
Computational Statistics & Data Analysis, v. 171, July 2022
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, real-world data often present non-Gaussian signals, with asymmetrical dis
Externí odkaz:
http://arxiv.org/abs/2208.03615
Publikováno v:
IEEE Geoscience and Remote Sensing Letters, v. 19, 2020
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 the maximum likelihood estimators, which can be biased for small signal
Externí odkaz:
http://arxiv.org/abs/2208.03611
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, v. 60, 2021
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 avoid such issues, the Rayleigh regression model based on a robust estimat
Externí odkaz:
http://arxiv.org/abs/2208.00097