Since p(a)is Gaussian in this example,the posteriori pdf p(is 点m最-ar+刘 Letting 2 K We have UESTC 10Since is Gaussian in this example, the posteriori pdf is Letting We have 10 UESTC p a( ) p a y ( ) ( ) ( ) 2 2 2 2 2 2 2 1 1 exp exp 2 2 2 2 k i i i i a i a a p a y y as y a s     =       = − − − +              2 2 0 2 2 2 2 1 1 1 exp 2 2 2 k MAP i i a a a y       =     = − + +              ε ( ) ( ) 2 0 2 2 1 1 exp 2 MAP a p a y a a        = − + −             ε