Title :
Multi-Sequence Linear Shift-Register Synthesis: The Varying Length Case
Author :
Schmidt, Georg ; Sidorenko, Vladimir R.
Author_Institution :
Dept. of Telecommun. & Appl. Inf. Theory, Ulm Univ.
Abstract :
The problem of linear shift-register synthesis for a single sequence is solved by the well known Berlekamp-Massey algorithm. The problem of multi-sequence shift-register synthesis is already addressed by Feng and Tzeng. The Feng-Tzeng algorithm can be considered as a generalization of the Berlekamp-Massey algorithm which takes a set of t different sequences of length N and yields a linear shift-register of length l capable of generating all t sequences. However, for the case of multiple sequences of varying length, the Feng-Tzeng algorithm generally does not give the correct solution. We demonstrate this by means of an example and explain, why the Feng-Tzeng algorithm does not work properly in the unequal length case. We propose a modification of the fundamental iterative algorithm (FIA) from Feng and Tzeng, which overcomes the problem with varying length sequences. Based on this algorithm we derive an efficient Berlekamp-Massey like algorithm for solving the multi-sequence shift-register synthesis problem for sequences of varying length
Keywords :
binary sequences; iterative methods; Berlekamp-Massey algorithm; Feng-Tzeng algorithm; fundamental iterative algorithm; multisequence linear shift-register synthesis; Concatenated codes; Decoding; Error correction codes; Feedback; Information theory; Interleaved codes; Iterative algorithms; Polynomials;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261652