TY - GEN
T1 - Least favorable additive noise under a divergence constraint
AU - McKellips, Andrew L.
AU - Verdu, Sergio
PY - 1997
Y1 - 1997
N2 - An uncertainty class of additive noise probability density functions (pdfs) satisfying a constraint on divergence from a prescribed nominal is analyzed in the context of antipodal communication. From within this class, the noise pdf that maximizes detection error probability is determined for both zero-threshold and maximum-likelihood detection strategies. An optional additional constraint on SNR is also considered, and asymptotic behavior is studied for vanishing divergence tolerance.
AB - An uncertainty class of additive noise probability density functions (pdfs) satisfying a constraint on divergence from a prescribed nominal is analyzed in the context of antipodal communication. From within this class, the noise pdf that maximizes detection error probability is determined for both zero-threshold and maximum-likelihood detection strategies. An optional additional constraint on SNR is also considered, and asymptotic behavior is studied for vanishing divergence tolerance.
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U2 - 10.1109/ISIT.1997.613470
DO - 10.1109/ISIT.1997.613470
M3 - Conference contribution
AN - SCOPUS:0030720698
SN - 0780339568
SN - 9780780339569
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 533
BT - Proceedings - 1997 IEEE International Symposium on Information Theory, ISIT 1997
T2 - 1997 IEEE International Symposium on Information Theory, ISIT 1997
Y2 - 29 June 1997 through 4 July 1997
ER -