Two problems in signal quantization and A/D conversion

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Title: Two problems in signal quantization and A/D conversion
Author: Jimenez, David
Abstract: We consider two different problems in quantization theory. During the first part we discuss the so called Bennett's White Noise Hypothesis, introduced to study quantization errors of different schemes. Under this hypothesis, one assumes that the reconstruction errors of different channels can be considered as uniform, independent and identically distributed random variables. We prove that in the case of uniform quantization errors for frame expansions, this hypothesis is in fact false. Nevertheless, we also prove that in the case of fine quantization, the errors of different channels are asymptotically uncorrelated, validating, at least partially, results on the computation of the mean square error of reconstructions that were obtained through the assumption of Bennett's hypothesis. On the second part, we will introduced a new scalar quantization scheme, called a Beta Alpha Encoder. We analyze its robustness with respect to the quantizer imperfections. This scheme also induces a challenging dynamical system. We give partial results dealing with the ergodicity of this system.
Type: Dissertation
Date: 2008-06-09
Publisher: Georgia Institute of Technology
Subject: Encoder
A/D Conversion
White noise theory
Frames (Vector analysis)
Analog To Digital converters
Department: Mathematics
Advisor: Committee Chair: Yang Wang; Committee Member: Christopher Heil; Committee Member: Doron Lubinsky; Committee Member: Guillermo Goldsztein; Committee Member: Steven W. McLaughlin
Degree: Ph.D.

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