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Marcus Greferath
School of Math. Sciences
University College Dublin
Belfield, Dublin 4, Ireland
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Joachim Rosenthal
Institut of Mathematics
University of Zurich
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ITW 2010 Dublin
IEEE Information Theory Workshop
Dublin, August 30 - September 3, 2010




Coding and decoding

Tue 31 Aug, 16.20-17.40, Room 2

Contributed session

Brian L. Luke and Phillip E. Pace
Computation of the Robust Symmetrical Number System Dynamic Range

Abstract: The robust symmetrical number system (RSNS) is a number theoretic transform formed using N ≥ 2 integer sequences and ensures that two successive RSNS vectors (paired terms from all N sequences) differ by only one integer -- integer Gray code property. The dynamic range M of the RSNS is defined as the greatest length of combined sequences that contain no ambiguities or repeated paired terms. For all but a select few RSNS sequences there is no closed-form solution to compute the dynamic range and its position. This paper presents an efficient algorithm for computing the dynamic range and its position. The dynamic range is shown to satisfy M < Pf where Pf is the RSNS fundamental period Pf = 2 N ∏ mi. It then follows that M < M where M = ∏ mi is the dynamic range of the residue number system. An example is presented to demonstrate the algorithm. The efficiency of the algorithm is examined by comparing the speed of computation to a naive search algorithm (using MATLAB on a PC).
Tue 31 Aug, 16.20-16.40, Room 2

Kohtaro Tadaki
Properties of Optimal Prefix-Free Machines as Instantaneous Codes

Abstract: The optimal prefix-free machine U is a universal decoding algorithm used to define the notion of program-size complexity H(s) for a finite binary string s. Since the set of all halting inputs for U is chosen to form a prefix-free set, the optimal prefix-free machine can be regarded as an instantaneous code for noiseless source coding scheme. In this paper, we investigate the properties of optimal prefix-free machines as instantaneous codes. In particular, we investigate the properties of the set U-1(s) of codewords associated with a symbol s. Namely, we investigate the number of codewords in U-1(s) and the distribution of codewords in U-1(s) for each symbol s, using the toolkit of algorithmic information theory.
Tue 31 Aug, 16.40-17.00, Room 2

Oscar Moreno and José Ortiz-Ubarri
Group Permutable Constant Weight Codes

Abstract: Improvements to the Johnson Bound for Optical Orthogonal Codes have been used to prove the optimality of double-periodic arrays with row and column length relatively prime. In our work we produce families of double-periodic arrays where the row and column length are not relatively prime. In this work we introduce the concept of group permutable constant weight codes and non-binary group permutable constant weight codes. We present improvements to the Johnson Bound to bound the cardinality of the families of double-periodic arrays whose row and column length are not relatively prime. We present some families of group permutable constant weight codes and prove the optimality of these families.
Tue 31 Aug, 17.00-17.20, Room 2

Khumbo Kumwenda and Eric Mwambene
Codes from graphs related to the categorical product of triangular graphs and Kn

Abstract: For any prime p and n ≥ 3, we examine p-ary linear codes generated by incidence matrices of two classes of graphs, Hn and Γn where Hn-1 is an induced subgraph of Γn. Γn is a subgraph of the union of the categorical product of triangular graphs Tn and complete graphs Kn, and complements of triangular graphs Tn and Kn, where the union of graphs is as defined in [Diestel, 1997]. For the codes of Hn, we exhibit permutation decoding sets of order n for full error correction. Their size is only twice the lower bound due to Gordon. We also consider partial permutation decoding for the binary codes from Γn.
Tue 31 Aug, 17.20-17.40, Room 2

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