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Let i = n in (3.16). Then given a candidate (2,)0...29, we know bits 0 through 21 on the right-hand side of (3.16). On the left-hand side, there are 64 possible values for ( Z n - l ) 1 6 . . . 2 9 . For the correct 2,-1 and Z,, bits 16 through 21 on both sides of (3.16) must match. For any given Z,, there is a probability of about 1/64 that a given Zn-l matches in these six known bit positions. Since we have 64 putative ( Z n - 1 ) 1 6 ...29, we expect, on average, one of these 64 to match in the corresponding bits of the given 2,. Once we find a ( Z ,-1)16...29 that is consistent with a putative Z,, we can then fill in bits 0 through 15 of 2,-1 based on the right-hand side of (3.16). At this point, we have found a (putative) pair consisting of ( Z n - l ) 0 . . . 2 g and ( Z n ) 0 . . . 2 g , and we expect to find the same number of such pairs as we have putative ( Z n ) o . . . 2 9 . We can repeat this process for n - 1,n - 2, n - 3, . . ., and thereby obtain complete putative 2-lists of the form (Z~.)0...29, i = 0 , 1 , . . . ,n. for We can extend each putative 2,from 30 known bits to its full 32 bits as follows. From (3.16), we have barcode formula for excel 2007 Barcode Excel Add-In TBarCode Office: Create Barcodes in Excel
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