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9 lines
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9 lines
477 B
Plaintext
sfft is a library to compute discrete Fourier transforms of signals with
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a sparse frequency domain, using an algorithm that is more efficient than
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other known FFT algorithms. It was developed by Haitham Hassanieh, Piotr
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Indyk, Dina Katabi, and Eric Price at the Computer Science and Artifical
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Intelligence Lab at MIT. Performance optimizations were developed by J.
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Schumacher at the Computer Science Department of ETH Zurich in 2013.
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WWW: http://spiral.net/software/sfft.html
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