Anna Gilbert, Piotr Indyk, Dina Katabi and Ramesh Raskar organized a meeting on the Sparse Fourier Transform and other related subjects on 17-18 February, 2013. Here is the list of presentations and slides from the meeting's page, enjoy!
- Basic Fourier Analysis Anna Gilbert (U Michigan)
- Algorithms for Sparse Fourier Transform Mark Iwen (Duke)
- Sparsity and Computational Photography [Slides][Slides2] Ramesh Raskar (MIT)
- Average Case Sparse Fourier Transform Algorithms Piotr Indyk (MIT)
- Sparse Fourier Transform Algorithms Eric Price (MIT)
- The Sparse FFT: from Theory to Practice Dina Katabi (MIT)
- Faster GPS via the Sparse Fourier Transform Haitham Hassanieh (MIT)
- Matrix Pencil Methods for Sparse Fourier Transform Laurent Demanet (MIT)
- What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid Yi Li (U Michigan)
- Sparse Methods in Array Processing Petros Boufounos (MERL)
- Convex Approach for Learning Near-Isometric Linear Embeddings Chinmay Hegde (MIT)
- FPGA-Based Design of a Million Point Sparse FFT] Abhinav Agarwal (MIT)
- New Constructions of RIP Matrices with Fast Multiplication and Fewer Rows, Mary Wooters (U Michigan)
- Modal Analysis with Compressive Measurements Jae Young Park (U Michigan)
- Spectral Compressive Sensing Marco Duarte (UMASS)
Looking at Dina Katabi's slides, one wonders if that is going to be a means for companies to go back to FBP in CT systems :
N00203485.jpg was taken on March 01, 2013 and received on Earth March 03, 2013. The camera was pointing toward HATI, and the image was taken using the CL1 and CL2 filters.
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