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Technical Program
Paper Detail
| Paper: | TA-L6.3 |
| Session: | Signal/Image Reconstruction from Sparse Measurements |
| Time: | Tuesday, October 10, 10:20 - 10:40 |
| Presentation: |
Special Session Lecture
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| Title: |
MULTICHANNEL SAMPLING OF PARAMETRIC SIGNALS WITH A SUCCESSIVE APPROXIMATION PROPERTY |
| Authors: |
Julius Kusuma; Massachusetts Institute of Technology | | | | | Vivek Goyal; Massachusetts Institute of Technology | | |
| Abstract: |
Recently the sampling theory for certain parametric signals based on rate of innovation has been extended to all sampling kernels that satisfy the Strang-Fix conditions, thus including many attractive choices with finite support. We propose a new sampling scheme in which samples are taken simultaneously at the outputs of multiple channels. This new scheme is closely related to previously known cases, but provides a successive approximation property that can be used for detecting undermodeling. We also draw connections to splines and multi-scale sampling of signals. |
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