Evaluation of correlated double sampling used with solid state imagers

Persistent Link:
http://hdl.handle.net/10150/277187
Title:
Evaluation of correlated double sampling used with solid state imagers
Author:
Wang, Yi-Fu, 1958-
Issue Date:
1989
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Correlated double sampling (CDS) is a widely used signal processing technique for removal of the Nyquist (reset) noise which is associated with charge sensing circuits employed in a solid state imager. In this thesis work, the power spectral density at the output of a correlated double sampling circuit with first-order low-pass filtered white noise at the input is calculated. A circuit constructed with discrete elements is made to simulate the output stage of a charge-coupled device (CCD). A low-pass filtered wide-band noise from a noise generator is added to the reset reference level when the output signal from this simulator is sampled by the correlated double sampling technique. The experiment measurements show that only about 10% of the noise power measured by simple sampling is obtained when CDS is employed. An autoregressive (AR) model is assumed to fit the sampled data and a recursive algorithm, based on least-squares solutions for the AR parameters using forward and backward linear prediction, is adopted for spectrum estimation. Some conclusions on choosing the bandwidth of the low pass filter for optimum operation is also included.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Electronic circuits -- Noise.; Charge coupled devices.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Marcellin, Michael W.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleEvaluation of correlated double sampling used with solid state imagersen_US
dc.creatorWang, Yi-Fu, 1958-en_US
dc.contributor.authorWang, Yi-Fu, 1958-en_US
dc.date.issued1989en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractCorrelated double sampling (CDS) is a widely used signal processing technique for removal of the Nyquist (reset) noise which is associated with charge sensing circuits employed in a solid state imager. In this thesis work, the power spectral density at the output of a correlated double sampling circuit with first-order low-pass filtered white noise at the input is calculated. A circuit constructed with discrete elements is made to simulate the output stage of a charge-coupled device (CCD). A low-pass filtered wide-band noise from a noise generator is added to the reset reference level when the output signal from this simulator is sampled by the correlated double sampling technique. The experiment measurements show that only about 10% of the noise power measured by simple sampling is obtained when CDS is employed. An autoregressive (AR) model is assumed to fit the sampled data and a recursive algorithm, based on least-squares solutions for the AR parameters using forward and backward linear prediction, is adopted for spectrum estimation. Some conclusions on choosing the bandwidth of the low pass filter for optimum operation is also included.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectElectronic circuits -- Noise.en_US
dc.subjectCharge coupled devices.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMarcellin, Michael W.en_US
dc.identifier.proquest1339068en_US
dc.identifier.oclc24259299en_US
dc.identifier.bibrecord.b1784034xen_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.