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Fast DFT computation for signals with spectral support
P. Charantej Reddy, V.S.S. Prabhu Tej,
Published in Institute of Electrical and Electronics Engineers Inc.
2021
Abstract
We consider the problem of computing the Discrete Fourier transform (DFT) of an N- length signal which has only k non-zero DFT coefficients at known locations. We say that a set of indices is spectral if there exists a DFT submatrix (square) with those columns that is unitary up to scaling. When the DFT support set is spectral and N is a prime power, we prove that this can be done in O(klogk) operations using k samples provided the DFT support. This is a generalization of a similar recent result for the case when N is a power of 2. © 2021 IEEE.
About the journal
JournalData powered by Typeset2021 National Conference on Communications, NCC 2021
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.