ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

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
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.