4.2.4 Asymptotic Spectral Distributions for Hermitian Matrix Also,we define a decision value as follow Ho2 入m∠Y decision 入nin H otherwise For the false alarm P,we have P。=P>Y1H =P（入na(R)>Yin =P(max(R)>YNAmin) =P(入mx(R)>y(WN-√K)) 2- 1-F Y(N-R)-m 55 4.2.4 Asymptotic Spectral Distributions for Hermitian Matrix max 0 min 1 , , H if decision H otherwise           Also, we define a decision value as follow         max 0 min max min max min 2 max 2 max 2 2 | 1 ( ) ( ) = ( ) ( ) 1 P P H fa P N P N P N K N K P v v N K F v                                                                R R R R For the false alarm , we have Pfa