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Semantic Explanation for Malaria Diagnosis: Comparing Human and Machine Generated Annotations for <i>Plasmodium</i> Species and Life-Stage Features. [PDF]
IEEE Open J Eng Med BiolJillahi KB, Usman ZS, Nche C.
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A covariate aware and dual convolutional network model for stadium crowd flow prediction. [PDF]
Sci RepDuan H, Sun Q.
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Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005
We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free ...
Zhang, W. +3 more
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We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free ...
Zhang, W. +3 more
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On Convolutional Network Coding
2006 IEEE International Symposium on Information Theory, 2006Convolutional network coding deals with the propagation of a message pipeline through a cyclic network. We formulate a convolutional network code by associating every pair of adjacent channels with a rational power series over the base field, called the local encoding kernel, and every channel with a concomitant global encoding kernel, which is a ...
Shuo-Yen Robert Li, Raymond W. Yeung
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Complementary Convolutional Coding
2019 IEEE International Conference on Electro Information Technology (EIT), 2019This paper presents a method of error control coding based on complementary convolutional codes. Complementary convolutional code is a block of convolutional codes and their complements. These code blocks are used to map a block of data and design coded modulation schemes. It is shown that multiple codes can be used simultaneously to improve the coding
Saleh Faruque, Rana Shaaban
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Multidimensional Convolutional Codes
SIAM Journal on Discrete Mathematics, 2002The purpose of the paper is to find a suitable formulation for the definition of a multidimensional convolutional code from a symbolic dynamics perspective. Three possible formulations for the definition of a multidimensional convolutional code are discussed.
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International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004
Convolutional network codes are considered for cyclic graphs. In CNC each node receives several streams and generates output streams whose current symbols depend on the current input symbols and previous input symbols in the node memory. A multicast CNC can be constructed using an algorithm, in order to minimize the memory and overhead, coefficients of
Elona Erez, Meir Feder
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Convolutional network codes are considered for cyclic graphs. In CNC each node receives several streams and generates output streams whose current symbols depend on the current input symbols and previous input symbols in the node memory. A multicast CNC can be constructed using an algorithm, in order to minimize the memory and overhead, coefficients of
Elona Erez, Meir Feder
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IEEE Transactions on Information Theory, 1983
Summary: Maximum distance separable (MDS) convolutional codes are defined as the row space over \(F(D)\) of totally nonsingular polynomial matrices in the indeterminate \(D\). These codes may be used to transmit information on \(n\) parallel channels when a temporary or even an infinite break can occur in some of these channels.
Philippe Piret, Thijs Krol
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Summary: Maximum distance separable (MDS) convolutional codes are defined as the row space over \(F(D)\) of totally nonsingular polynomial matrices in the indeterminate \(D\). These codes may be used to transmit information on \(n\) parallel channels when a temporary or even an infinite break can occur in some of these channels.
Philippe Piret, Thijs Krol
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On a class of convolutional codes
IEEE Transactions on Information Theory, 1983Summary: For the case when \(k\) divides \(n\), we introduce a special class of \((n,k)\) \(F\)-ary convolutional codes, \(F= \mathrm{GF}(q)\) a finite field, by considering the input to an \((n,k)\) encoder as a sequence over \(\mathrm{GF}(q^k)\), the output as a sequence over \(\mathrm{GF}(q^n)\), and then considering encoders which correspond to ...
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A MacWilliams formula for Convolutional Codes
2007 IEEE International Symposium on Information Theory, 2007Regarding convolutional codes as polynomial analogues of arithmetic lattices, we derive a Poisson–Jacobi formula for their trivariate weight enumerator. The proof is based on harmonic analysis on locally compact abelian groups as developed in Tate's thesis to derive the functional equation of the zeta function.
Patrick Solé, Dmitrii V. Zinoviev
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