TY - GEN
T1 - Dispersion of gaussian channels
AU - Polyanskiy, Yury
AU - Poor, H. Vincent
AU - Verdu, Sergio
PY - 2009
Y1 - 2009
N2 - The rmmmum blocklength required to achieve a given rate and error probability can be easily and tightly approximated from two key channel parameters: the capacity and the channel dispersion. The channel dispersion gauges the variability of the channel relative to a deterministic bit pipe with the same capacity. This paper finds the dispersion of the additive white Gaussian noise (AWGN) channel, the parallel AWGN channel, and the Gaussian channel with non-white noise and intersymbol interference.
AB - The rmmmum blocklength required to achieve a given rate and error probability can be easily and tightly approximated from two key channel parameters: the capacity and the channel dispersion. The channel dispersion gauges the variability of the channel relative to a deterministic bit pipe with the same capacity. This paper finds the dispersion of the additive white Gaussian noise (AWGN) channel, the parallel AWGN channel, and the Gaussian channel with non-white noise and intersymbol interference.
UR - http://www.scopus.com/inward/record.url?scp=70449492969&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449492969&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2009.5205834
DO - 10.1109/ISIT.2009.5205834
M3 - Conference contribution
AN - SCOPUS:70449492969
SN - 9781424443130
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2204
EP - 2208
BT - 2009 IEEE International Symposium on Information Theory, ISIT 2009
T2 - 2009 IEEE International Symposium on Information Theory, ISIT 2009
Y2 - 28 June 2009 through 3 July 2009
ER -