Graduate Thesis Or Dissertation

 

A methodology for efficient substrate noise estimation from large scale digital circuits in mixed signal SoC's Público Deposited

Contenido Descargable

Descargar PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/b8515q649

Descriptions

Attribute NameValues
Creator
Abstract
  • A methodology for rapid estimation of substrate noise generated by digital circuitry in mixed-signal circuits is presented. This methodology is incorporated into the Silencer! framework, and also provides for future improvements including pre-layout noise estimation. Measurements of a test chip fabricated in the TSMC o.25[mu]m heavily doped logic process validate the methodology and simulation results. Substrate noise coupling from a large-scale digital processor to simple analog circuits for two different designs with the same functionality has been analyzed. Compared to existing methodologies there is a speedup Of over 80 times with one-tenth the memory use is obtained with only a 5 percent loss in accuracy. This allows for the rapid identification of major noise injection mechanisms and solutions for their reduction.
License
Resource Type
Fecha Disponible
Fecha de Emisión
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Declaración de derechos
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome, 8-bit Grayscale) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces

Relaciones

Parents:

This work has no parents.

En Collection:

Elementos