Discrete sampling in continuous time, band-limited signals

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Abstract/Contents

Abstract
During more than 60 years, the paradigm implied by the celebrated Shannon sampling theorem has been the basis of most ADC and DAC architectures, with the exception of the so called oversampling converters. The improvements in semiconductor technology allowed for little change in these design architectures while faster, lower power converters and new generations of manufacturing processes were developed. Over the last 5 to 10 years, the point of diminishing returns with respect to scaling seems to have been reached. As a result, there is a renewed interest in researching alternative sampling paradigms to Shannon's. Discrete Sampling is one of the numerous sampling alternatives proposed recently. In this research we show how Discrete Sampling can be extended to work with the class of continuous time band-limited signals. In addition to several mathematical results on the matter, the actual implementation of the paradigm is also considered. It will be shown that the proposed scheme results in a particular type of Hybrid Filter Bank. Several examples of such banks are presented together with their performance when sampling and reconstructing real life audio signals.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2012
Issuance monographic
Language English

Creators/Contributors

Associated with Gomez Pancorbo, Fernando
Associated with Stanford University, Department of Electrical Engineering
Primary advisor Osgood, Brad
Primary advisor Pauly, John (John M.)
Thesis advisor Osgood, Brad
Thesis advisor Pauly, John (John M.)
Thesis advisor Smith, Julius O. (Julius Orion)
Advisor Smith, Julius O. (Julius Orion)

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Fernando Gomez Pancorbo.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2012.
Location electronic resource

Access conditions

Copyright
© 2012 by Fernando Gomez Pancorbo
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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