The Main Innovation Determined By the Sub-Pixel Efficacy Region
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[1] N A Thacker,et al. Improved quality of re‐sliced MR images using re‐normalized sinc interpolation , 1999, Journal of magnetic resonance imaging : JMRI.
[2] T. V. Sreenivas,et al. FFT algorithm for both input and output pruning , 1979 .
[3] J. Markel,et al. FFT pruning , 1971 .
[4] Thomas Schanze,et al. Sinc interpolation of discrete periodic signals , 1995, IEEE Trans. Signal Process..
[5] Michael R. Smith,et al. Efficient sinc function interpolation technique for center padded data , 1990, IEEE Trans. Acoust. Speech Signal Process..
[6] Patricia Cerrito. Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks , 2010 .
[7] José Carlos Príncipe,et al. Comments on "Sinc interpolation of discrete periodic signals" , 1998, IEEE Trans. Signal Process..
[8] Carlo Ciulla. Improved Signal and Image Interpolation in Biomedical Applications: The Case of Magnetic Resonance Imaging (Mri) , 2009 .
[9] Asoke K. Nandi,et al. Notes on the interpolation of discrete periodic signals using sinc function related approaches , 2000, IEEE Trans. Signal Process..
[10] Leonid P. Yaroslavsky,et al. Signal sinc-interpolation: a fast computer algorithm , 1996 .
[11] D. Skinner. Pruning the decimation in-time FFT algorithm , 1976 .
[12] Piotr Augustyniak,et al. Ubiquitous Cardiology: Emerging Wireless Telemedical Applications , 2009 .
[13] J. Hajnal,et al. A Registration and Interpolation Procedure for Subvoxel Matching of Serially Acquired MR Images , 1995, Journal of computer assisted tomography.
[14] R. Liston,et al. Building Knowledge in Maternal and Infant Care , 2009 .
[15] M. Smith,et al. Efficient algorithms for generating interpolated (zoomed) MR images , 1988, Magnetic resonance in medicine.