A multiscale sparse Fourier algorithm is proposed that is robust to noise and efficient for high-dimensional nearly s-sparse signals.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multiscale High-Dimensional Sparse Fourier Algorithms for Noisy Data
A multiscale sparse Fourier algorithm is proposed that is robust to noise and efficient for high-dimensional nearly s-sparse signals.