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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Iwen, M.A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute for Mathematics and its Applications (IMA), University of Minnesota, 114 Lind Hall, Minneapolis, 55455-0134, USA (Iwen, M.A.) |
| Abstract | This paper empirically evaluates a recently proposed Deter- ministic Sparse Fourier Transform algorithm (hereafter called DSFT) for the first time. Our experiments indicate that DSFT is capable of guaranteed general frequency-sparse signal recovery using subNyquist sampling for realistic bandwidth values. Furthermore, we show that both variants of DSFT have fast reconstruction runtimes. In fact, the sublinear-time DSFT variant is shown to be faster than a traditional Fast Fourier Transform (FFT) for highly-sparse wideband signals. |
| Starting Page | 893 |
| Ending Page | 896 |
| File Size | 451966 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427338 |
| DOI | 10.1109/CISS.2009.5054843 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fourier transforms Runtime Fast Fourier transforms Algorithms Discrete Fourier transforms Signal processing algorithms Bandwidth Frequency Sampling methods Image reconstruction Wideband Signal Processing |
| Content Type | Text |
| Resource Type | Article |
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