Digital-to-analog converter using noise-shaped segmentation

Coded data generation or conversion – Analog to or from digital conversion – Digital to analog conversion

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

341143, H03M 300

Patent

active

059778997

ABSTRACT:
A segmentation circuit includes a digital noise shaper responsive to a stream of digital input words for producing a stream of first digital subwords, and a subtractor for subtracting each of the first digital subwords from a corresponding one of the digital input words to produce a stream of second digital subwords that are noise-shaped. The first and second digital subwords have smaller word lengths than the digital input words. The sum of each of the first and second subwords is equal to the corresponding digital input word. When the digital input words are noise-shaped, the first and second digital subwords are both noise-shaped. The segmentation circuit may be used in a noise-shaping digital-to-analog converter having a multi-bit loop quantizer.

REFERENCES:
patent: 5369403 (1994-11-01), Temes et al.
patent: 5404142 (1995-04-01), Adams et al.
patent: 5406283 (1995-04-01), Leung
patent: 5684482 (1997-11-01), Galton
X Xu et al, "The Implementation of Dual -Truncation .SIGMA. .DELTA. D/A Converters," IFFF Circuits & Sys.J., 1992, 4 pp.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Digital-to-analog converter using noise-shaped segmentation does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Digital-to-analog converter using noise-shaped segmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Digital-to-analog converter using noise-shaped segmentation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2141294

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.