Title : 
The tradeoff function for a class of RLL(d, k) constraints
         
        
        
            Author_Institution : 
Dept. of Math., Univ. of British Columbia, Vancouver, BC, Canada
         
        
        
        
        
        
            Abstract : 
A reverse concatenation coding scheme for storage systems in which the information is encoded first by a modulation (constraint) code and then by a systematic error-correcting code is considered. In this scheme, the output of the modulation coding stage has certain positions left “unconstrained”-in the sense that any way of filling them with bits results in a sequence that satisfies the constraint. These positions are then used to store the parity-check bits of the error-correcting code so that the result is a valid constrained sequence. The tradeoff function defines the maximum overall rate of the encoding scheme for a given density of unconstrained positions. This function is determined for two families of RLL constraints: RLL(d, ∞) and RLL(d, 2d+2). For RLL(d, 2d+2), a curious dichotomy in the shape of the tradeoff function between different ranges of values of d is shown to exist.
         
        
            Keywords : 
concatenated codes; digital storage; error correction codes; modulation coding; RLL constraints; constrained sequence; modulation code; parity-check bits; reverse concatenation coding scheme; storage systems; systematic error-correcting code; Binary sequences; Decoding; Encoding; Error correction codes; Filling; Mathematics; Modulation coding; Parity check codes; Shape; Writing;
         
        
        
        
            Conference_Titel : 
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
         
        
            Conference_Location : 
Austin, TX
         
        
            Print_ISBN : 
978-1-4244-7890-3
         
        
            Electronic_ISBN : 
978-1-4244-7891-0
         
        
        
            DOI : 
10.1109/ISIT.2010.5513657