Automated Parameter Tuning based on RMS Errors for nonequispaced FFTs
In this paper we study the error behavior of the well known fast Fourier transform for nonequispaced data (NFFT) with respect to the L2-norm. We compare the arising errors for different window functions and show that the accuracy of the algorithm can be significantly improved by modifying the shape...
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| Format: | Others |
| Language: | English |
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Universitätsbibliothek Chemnitz
2015
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| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-160989 http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-160989 http://www.qucosa.de/fileadmin/data/qucosa/documents/16098/Preprint_2015_01.pdf http://www.qucosa.de/fileadmin/data/qucosa/documents/16098/signatur.txt.asc |