Patent ID: 11909563
Assignee: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 5:
6. The method according to claim 4, wherein the formula of the loss function is as follows:, J
   (
    
   θ
   )
  
  =
  
   
    
     -
     
      1
      M
     
    
    ⁢
    
     l
     ⁡
     (
     θ
     )
    
   
   =
   
    
     -
     
      1
      M
     
    
    ⁢
    
     
      ∑
      
       m
       =
       1
      
      M
     
      
     
      
       ∑
       
        k
        =
        1
       
       K
      
      
       
        y
        k
        
         (
         m
         )
        
       
       ⁢
       
        log
        ⁡
        (
        
         
          h
          
           
            θ
            1
           
           ⁢
           
            H
            k
           
          
         
         (
         
          X
          
           AP
           ⁡
           (
           m
           )
          
         
         )
        
        )
       
      
     
    
   
  
 

wherein, M represents the number of the sample feature data items, K represents the number of modulation modes, θ represents all the parameters in the initial cyclic residual network, yk(m) represents that the classification label for the mth sample feature data item is the kth modulation mode, XAP(m) represents the mth sample feature data item, hθlHk(XAP(m)) represents feature data obtained after the mth sample feature data item is passed through the feature extracting module, l(θ) represents a likelihood function of parameter θ, and Hk represents the kth modulation mode.