4.2.1 Maximum-Likelihood case If two hypotheses are equally likely a priori, then 元=兀1= 2 Tmap 1 Maximum-likelihood (ML)criterion with a threshold Ev =1 It is often used in detection problems when there is no knowledge of the a priori probabilities. UESTC 88 UESTC 4.2.1 Maximum-Likelihood case • If two hypotheses are equally likely a priori, then 0 1 1 , 1 2    = = = MAP Maximum-likelihood (ML) criterion with a threshold It is often used in detection problems when there is no knowledge of the a priori probabilities.  ML =1