Sample-optimal average-case sparse Fourier Transform in two dimensions

Badih Ghazi, Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price, Lixin Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the first sample-optimal sublinear time algorithms for the sparse Discrete Fourier Transform over a two-dimensional √n × √n grid. Our algorithms are analyzed for the average case signals. For signals whose spectrum is exactly sparse, we present algorithms that use O(k) samples and run in O(k log k) time, where k is the expected sparsity of the signal. For signals whose spectrum is approximately sparse, we have an algorithm that uses O(k log n) samples and runs in O(k log2 n) time, for k = Θ(√n). All presented algorithms match the lower bounds on sample complexity for their respective signal models.

Original languageEnglish (US)
Title of host publication2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013
PublisherIEEE Computer Society
Pages1258-1265
Number of pages8
ISBN (Print)9781479934096
DOIs
StatePublished - 2013
Externally publishedYes
Event51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013 - Monticello, IL, United States
Duration: Oct 2 2013Oct 4 2013

Publication series

Name2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013

Other

Other51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013
Country/TerritoryUnited States
CityMonticello, IL
Period10/2/1310/4/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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