Sparse fourier transform in any constant dimension with nearly-optimal sample complexity in sublinear time

Michael Kapralov. Sparse fourier transform in any constant dimension with nearly-optimal sample complexity in sublinear time. In Daniel Wichs, Yishay Mansour, editors, Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2016, Cambridge, MA, USA, June 18-21, 2016. pages 264-277, ACM, 2016. [doi]

Authors

Michael Kapralov

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