Results 111 to 120 of about 36,115 (166)
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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 +3 more
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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 +3 more
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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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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, 1992A 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), 2020The 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 +5 more
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Oversampling for the Multiscale Finite Element Method [PDF]
Multiscale Modeling and Simulation, 2013 This paper reviews standard oversampling strategies as performed in the Multiscale Finite Element Method (MsFEM). Common to those approaches is that the oversampling is performed in the full space restricted to a patch but including coarse finite element functions.
Patrick Henning, Daniel Peterseim
exaly +4 more sources
Characterization and design of oversampled linear phase filterbanks with rational oversampling ratio
2006 IEEE International Symposium on Circuits and Systems, 2006This 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 +2 more
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