MMSE of "Bad" Codes

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages, 2 figures, submitted to the IEEE Transactions on Information Theory

Scientific paper

We examine codes, over the additive Gaussian noise channel, attaining a minimum required rate at some specific signel-to-noise ratio (snr). For such codes we provide a tight lower bound on the minimum mean square error (MMSE), valid for any snr. This minimum required rate is below capacity, and hence these are non-optimal codes (alternatively referred to as "bad" codes). We show that the lower bound is attainable by superposition codebooks that are optimal for a specific degraded Gaussian broadcast channel (BC). It is also proved that the MMSE function of codes, attaining a minimum required rate at some snr, and the lower bound on the MMSE at some other snr, is completely defined for all snr, and is the one obtained by the corresponding superposition codebooks.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

MMSE of "Bad" Codes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with MMSE of "Bad" Codes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and MMSE of "Bad" Codes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-389524

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