• English
    • Norsk
  • English 
    • English
    • Norsk
  • Administration
View Item 
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Power efficient Delta Sigma bitstream encoder/decoder

Mo, Daniel
Master thesis
View/Open
Mo.pdf (5.514Mb)
Year
2009
Permanent link
http://urn.nb.no/URN:NBN:no-23701

Metadata
Show metadata
Appears in the following Collection
  • Institutt for informatikk [3608]
Abstract
The thesis presents design and implementation of components for recoding of signals between binary PCM and a bitstream representation. The bitstream representation enables real time signal processing using a power efficient algorithm for time-domain cross-correlation. The greatest savings are made when the system is restricted to a low oversampling ratio (OSR).

A fully digital Delta Sigma encoder is presented. The low OSR is the largest limiting factor in the system. Both simulations and measured results of the implemented modulator shows an achievable signal to noise ratio (SNR) in the range 30-35dB.

Digital filters are designed for sampling rate conversion between the Nyquist rate and the oversampled rate. Considerations and trade-offs specific to filter design in a Delta Sigma context are given. Several measures are taken to improve power efficiency of the circuits, while evaluating the impact on signal quality after conversion.

Both filters and the Delta Sigma encoder are implemented in 90nm CMOS on a single 1mm² chip, together with the cross-correlator. Circuit performance is evaluated for all circuits by theoretical considerations, simulations and chip measurements.
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy
 

 

For students / employeesSubmit master thesisAccess to restricted material

Browse

All of DUOCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

For library staff

Login
RSS Feeds
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy