scientific article; zbMATH DE number 7053345
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Publication:5743468
zbMath1458.94097MaRDI QIDQ5743468
Eric Price, Haitham Hassanieh, Dina Katabi, Piotr Indyk
Publication date: 10 May 2019
Full work available at URL: https://dl.acm.org/citation.cfm?id=2095209
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for discrete and fast Fourier transforms (65T50) Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type (42A38)
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Uses Software
Cites Work
- Unnamed Item
- Combinatorial sublinear-time Fourier algorithms
- Improved approximation guarantees for sublinear-time Fourier algorithms
- Empirical evaluation of a sub-linear time sparse DFT algorithm
- Constant depth circuits, Fourier transform, and learnability
- A Sparse Spectral Method for Homogenization Multiscale Problems
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Near-optimal sparse fourier representations via sampling
- Combinatorial Algorithms for Compressed Sensing
- Learning Decision Trees Using the Fourier Spectrum
- Randomized interpolation and approximation of sparse polynomials stPreliminary version
- Compressed sensing
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