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         P(A=1,C=1) = P(A=1) . P(C=1) = p.P(A=1,B=0) = p^2.(1-p) (1)
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         P(A=1,C=1) = P(A=1) . P(C=1) = p.{P(A=1,B=0)+P(A=0,B=1)} = 2.p^2.(1-p) (1)
 
 
         P(A=1,B=0) = P(A=1) . P(B=0) = p.(1-p) (2)
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         P(A=1,B=0) = P(A=1) . P(B=0) = p.(1-p)                 (2)
 +
       
 +
Since, (1) & (2) are not equal to each other, A & C are not independent of each other when bits are biased.
 +
 +
 
 +
                            "OR"       
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 +
        P(A=0,C=0) = P(A=0) . P(C=0) = (1-p).{P(A=1,B=1)+P(A=0,B=0)} = (p^2 + (1-p)^2).(1-p) (3)
 +
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        P(A=0,B=0) = P(A=1) . P(B=0) = (1-p).(1-p)                 (4)
 +
         
 +
Again, since (3) & (4) are not equal to each other, A & C are not independent of each other when bits are biased.
  
Since, (1) & (2) are not equal to each other, A & C are
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        Hence, it is proved.
independent of each other when bits are biased.
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Latest revision as of 14:42, 16 September 2008



       A		B		


       P(A=1) = p	P(B=1) = p
       P(A=0) = 1-p	P(B=0) = 1-p			


       P(A=1,C=1) = P(A=1) . P(C=1) = p.{P(A=1,B=0)+P(A=0,B=1)} = 2.p^2.(1-p)		(1)
       P(A=1,B=0) = P(A=1) . P(B=0) = p.(1-p)		                 		(2)
       

Since, (1) & (2) are not equal to each other, A & C are not independent of each other when bits are biased.


                            "OR"        
       P(A=0,C=0) = P(A=0) . P(C=0) = (1-p).{P(A=1,B=1)+P(A=0,B=0)} = (p^2 + (1-p)^2).(1-p)	(3)
       P(A=0,B=0) = P(A=1) . P(B=0) = (1-p).(1-p)		                 		(4)
         

Again, since (3) & (4) are not equal to each other, A & C are not independent of each other when bits are biased.

       Hence, it is proved.

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BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman