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The Order Bound for Toric Codes
2009In this paper we investigate the minimum distance of generalized toric codes using an order bound like approach. We apply this technique to a family of codes that includes the Joyner code. For some codes in this family we are able to determine the exact minimum distance.
Peter Beelen, Diego Ruano
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1999
We have already explained that a good code should have large d/n andk/nin the unit interval [0,1] for a givenn.From Shannon’s theorem we know also that we should study long codes. However, if the channel has symbol-error probabilitypthen we should expect an average ofpnerrors per received word of lengthn.To correct these we need to have a minimum ...
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We have already explained that a good code should have large d/n andk/nin the unit interval [0,1] for a givenn.From Shannon’s theorem we know also that we should study long codes. However, if the channel has symbol-error probabilitypthen we should expect an average ofpnerrors per received word of lengthn.To correct these we need to have a minimum ...
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1992
Abstract In Parts 1 and 3 we have constructed codes that are designed to give a certain worst case performance. For such codes Shannon’s theorem is not an appropriate measure because it concerns the average performance of a code. In this chapter we shall prove some simple bounds on the worst-case performance of codes and compare our ...
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Abstract In Parts 1 and 3 we have constructed codes that are designed to give a certain worst case performance. For such codes Shannon’s theorem is not an appropriate measure because it concerns the average performance of a code. In this chapter we shall prove some simple bounds on the worst-case performance of codes and compare our ...
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Performance bounds for fractal coding
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002Reports on investigations concerning the performance of fractal transforms. Emerging from the structural constraints of fractal coding schemes, lower bounds for the reconstruction error are given without regarding quantization noise. This implies finding an at least locally optimal transformation matrix.
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Bounds on Communication with Polyphase Coding
Bell System Technical Journal, 1966The theoretical capabilities of a “polyphase” coding-modulation scheme with additive white Gaussian noise are studied. The channel capacity of this system is found and the error exponent estimated. Bounds are also found on R o (ρ max ), the maximum (asymptotic) rate for which polyphase codes can be found with maximum correlation between code words ρ ...
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Bounds on the redundancy of Huffman codes
IEEE Trans. Inf. Theory, 1986New upper bounds on the redundancy of Huffman codes are provided. A bound that for \(2/9\leq P_ 1\leq 0.4\) is sharper than the bound of Gallager, when the probability of the most likely source letter \(P_ 1\) is the only known probability is presented. The improved bound is the tightest possible for \(1/3\leq P_ 1\leq 0.4\). Upper bounds are presented
Renato M. Capocelli +2 more
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Singleton's Bound in Euclidean Codes
Algebra Colloquium, 2010There are three standard weight functions on a linear code viz. the Hamming weight, Lee weight and Euclidean weight. The Euclidean weight function is useful in connection with the lattice constructions, where the minimum norm of vectors in the lattice is related to the minimum Euclidean weight of the code.
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Separating Codes: Constructions and Bounds
2004Separating codes, initially introduced to test automaton, have revived lately in the study of fingerprinting codes, which are used for copyright protection. Separating codes play their role in making the fingerprinting scheme secure against coalitions of pirates. We provide here better bounds, constructions and generalizations for these codes.
Gérard D. Cohen, Hans Georg Schaathun
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Modified bounds for covering codes
IEEE Transactions on Information Theory, 1991The covering radius of binary codes is studied. Bounds on K(n,R), the minimum cardinality of any binary code of length n and covering radius R, are found. Modifications of the van Wee lower bounds are proved for K(n,R), the minimal number of codewords in any binary code of length n and covering radius R.
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