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Paper:SS-8.2
Session:Innovations in Sampling Theory and Applications
Time:Thursday, May 20, 13:20 - 13:40
Presentation: Special Session Lecture
Topic: Special Sessions: Innovations in Sampling Theory and Applications
Title: SIGMA-DELTA QUANTIZATION AND FINITE FRAMES
Authors: John Benedetto; University of Maryland, College Park 
 Özgür Yilmaz; University of Maryland, College Park 
 Alexander Powell; Princeton University 
Abstract: It is shown that Sigma-Delta algorithms can be used effectively to quantize finite frame expansions for R^d. Error estimates for various quantized frame expansions are derived, and in particular, it is shown that Sigma-Delta quantizers outperform the standard PCM schemes.
 
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