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Construction of a deep learning-based predictive model for delayed graft function in kidney transplantation. [PDF]

Curr Urol
He Y, Sun W, Deng Y, Ding Z, Ma C, Sun S, Zhao Y, Wang J.   +7 more
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Oversampled Wilson expansions

IEEE Signal Processing Letters, 1997
Orthonormal Wilson bases with good time-frequency localization have been constructed by Daubechies, Jaffard, and Journe (1991). We extend this construction to Wilson sets and frames with arbitrary oversampling (or redundancy). We state conditions under which dual Weyl-Heisenberg (WH) sets induce dual Wilson sets, and we formulate duality conditions in ...
Helmut Bölcskei, Karlheinz Gröchenig, Franz Hlawatsch, Hans G. Feichtinger   +3 more
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Oversampled ADC's

Proceedings of the IEEE 2013 Custom Integrated Circuits Conference, 2013
Oversampled ADC's are steadily reaching higher effective bandwidths and resolutions at lower power dissipation levels through the use of clever design techniques. The use of continuous time architecture enhances the system level usability by reducing the need for anti-aliasing filters.
Eric Naviasky, Hasnain Lakdawala
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Oversampling in the Gabor scheme

IEEE Transactions on Signal Processing, 1992
A method for calculating the coefficients of the Gabor expansion in the context of oversampling is presented. The method is based on the concept of frames and utilizes the Zak transform. The Zak transform further highlights the meaning and importance of frames in the context of oversampling and other aspects of signal representation by means of ...
Meir Tzur, Yehoshua Y. Zeevi
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Minority Oversampling Using Sensitivity

2020 International Joint Conference on Neural Networks (IJCNN), 2020
The Synthetic Minority Oversampling Technique (SMOTE) is effective to handle imbalance classification problems. However, the random candidate selection of SMOTE may lead to severe overlap between classes and introduce new noise factors. Many variants of SMOTE have been proposed to relieve these problems by generating new examples in safe regions.
Jianjun Zhang 0004, Ting Wang 0015, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang 0001, Chris D. Nugent   +5 more
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Characterization and design of oversampled linear phase filterbanks with rational oversampling ratio

2006 IEEE International Symposium on Circuits and Systems, 2006
This paper introduces characterization of over-sampled linear phase perfect reconstruction filter bank as an embedded part of corresponding critically sampled filter bank. We deal with FIR linear phase perfect reconstruction filter banks with real-valued coefficients in which all analysis filters have the same length.
Zhiming Xu, Anamitra Makur, Zhiping Lin 0001   +2 more
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Oversampling and Whitening with the CASA Radar

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
The CASA NSF ERC is using cutting edge radar technology to create a network of short range weather radar to observe the lower regions of the atmosphere that are currently out of sight. Range oversampling and whitening is one of the newest technologies available for increasing the accuracy of weather radar moment estimates.
Erich Hefner, V. Chandrasekar 0001
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On filter banks with rational oversampling

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
Despite the great popularity of critically-decimated filter banks, oversampled filter banks are useful in applications where data expansion is not a problem. We studied oversampled filter banks and showed that for some popular classes of filter banks it is not possible to obtain perfect reconstruction with rational (non-integer) oversampling ratios ...
Ricardo von Borries, Ricardo L. de Queiroz, C. Sidney Burrus   +2 more
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