Patent ID: 11892613
Assignee: YEDA RESEARCH AND DEVELOPMENT CO. LTD.
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The method according to claim 1, wherein said joint sparse recovery comprises determining a solution to:, min
    
     
      
       x
       i
       ′
      
      ,
      
       x
       j
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    {
    
     
      
       ∑
       
        i
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        1
       
       U
      
      
       
        
        
         
          
           A
           i
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          ⁢
          
           x
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         -
         
          y
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       2
       2
      
     
     +
     
      
       ∑
       
        j
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       V
      
      
       η
       ⁢
       
        
         
         
          
           
            A
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           ⁢
           
            x
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          -
          
           y
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        2
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     +
     
      λ
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         X
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        
       
       
        2
        ,
        1
       
      
     
    
    }
   
  
  ,, wherein:
U is the number of intensity images;
V is the number of correlation images;
A′i is the sensing matrix of each detector;
A″j is the sensing matrix of each of the pairs of detectors;
x′i is a vector of the signal, for example a latent signal, of each of the intensity images;
x″j is a vector of the signal, for example a latent signal, of each of the correlation images;
y′i is the measurement vector associated with each of the intensity images;
y″j is the measurement vector associated with each of the correlation images;
{circumflex over (X)} is a matrix constituted by stacking all of the x′ and x″ vectors;
η is a weighting factor;
∥·∥2 denotes the  norm;
∥·∥2,1 denotes the  mixed norm to promote sparsity; and
λ is a regularization parameter of the  norm.