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<p><b>Abstract</b>—An efficient implementation of a parallel version of the Feng-Rao algorithm on a one-dimensional systolic array is presented in this paper by adopting an extended syndrome matrix. Syndromes of the same order, lying on a slant diagonal in the extended syndrome matrix, are scheduled to be examined by a series of cells simultaneously and, therefore, a high degree of concurrency of the Feng-Rao algorithm can be achieved. The time complexity of the proposed architecture is <tmath>$m+g+1$</tmath> by using a series of <tmath>$t+\lfloor {\frac{g-1}{2}} \rfloor +1$</tmath>, nonhomogeneous but regular, effective processors, called PE cells, and <tmath>$g$</tmath> trivial processors, called D cells, where <tmath>$t$</tmath> is designed as the half of the Feng-Rao bound. Each D cell contains only delay units, while each PE cell contains one finite-field inverter and, except the first one, one or more finite-field multipliers. Cell functions of each PE cell are basically the same and the overall control circuit of the proposed array is quite simple. The proposed architecture requires, in total, <tmath>$t+\lfloor {\frac{g-1}{2}} \rfloor +1$</tmath> finite-field inverters and <tmath>${\frac{(t+\lfloor (g-1)/2 \rfloor)(t+\lfloor (g-1)/2 \rfloor +1)}{2}}$</tmath> finite-field multipliers. For a practical design, this hardware complexity is acceptable.</p>
Error-correcting codes, algebraic-geometric codes, Feng-Rao algorithm, systolic array.

C. Liu, K. Huang and C. Lu, "A Systolic Array Implementation of the Feng-Rao Algorithm," in IEEE Transactions on Computers, vol. 48, no. , pp. 690-706, 1999.
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