The Experts below are selected from a list of 93 Experts worldwide ranked by ideXlab platform
Jerry D. Gibson - One of the best experts on this subject based on the ideXlab platform.
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a constrained joint source channel Coder design
IEEE Journal on Selected Areas in Communications, 1994Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The design of joint source/channel Coders in situations where there is residual redundancy at the output of the source Coder is examined. It has previously been shown that this residual redundancy can be used to provide error protection without a channel Coder. In this paper, this approach is extended to conventional source Coder/Convolutional Coder combinations. A family of nonbinary enCoders is developed which more efficiently use the residual redundancy in the source Coder output. It is shown through simulation results that the proposed systems outperform conventional source-channel Coder pairs with gains of greater than 9 dB in the reconstruction SNR at high probability of error. >
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A constrained joint source/channel Coder design
IEEE Journal on Selected Areas in Communications, 1994Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The design of joint source/channel Coders in situations where there is residual redundancy at the output of the source Coder is examined. It has previously been shown that this residual redundancy can be used to provide error protection without a channel Coder. In this paper, this approach is extended to conventional source Coder/Convolutional Coder combinations. A family of nonbinary enCoders is developed which more efficiently use the residual redundancy in the source Coder output. It is shown through simulation results that the proposed systems outperform conventional source-channel Coder pairs with gains of greater than 9 dB in the reconstruction SNR at high probability of error. >
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a joint source channel Coder design
International Conference on Communications, 1993Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The situation in which there is residual redundancy at the source Coder output is examined. It has previously been shown that this residual redundancy can be used to provide error correction without a channel enCoder. This approach is extended to conventional source Coder/Convolutional Coder combinations. A design for nonbinary enCoders for this situation is developed. It is shown through simulation results that the proposed systems consistently outperform conventional source-channel Coder pairs with gains of greater than 10 dB at high probability of error. >
Sorina Dumitrescu - One of the best experts on this subject based on the ideXlab platform.
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Fast Joint Source-Channel Decoding of Convolutional Coded Markov Sequences with
2010Co-Authors: Sorina DumitrescuAbstract:This work addresses the problem of joint source- channel decoding of a Markov sequence which is first encoded by a source code, then encoded by a Convolutional code, and sent through a noisy memoryless channel. It is shown that for Markov sources satisfying the so-called Monge property, both the maximum a posteriori probability (MAP) sequence decoding, as well as the soft output Max-Log-MAP decoding can be accelerated by a factor of �� without compromising the optimality, where �� is the size of the Markov source alphabet. The key to achieve a higher decoding speed is a convenient organization of computations at the deCoder combined with a fast matrix search technique enabled by the Monge property. The same decrease in complexity follows, as a by-product of the development, for the soft output Max-Log-MAP joint source channel decoding in the case when the Convolutional Coder is absent, result which was not known previously.
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fast joint source channel decoding of Convolutional coded markov sequences with monge property
IEEE Transactions on Communications, 2010Co-Authors: Sorina DumitrescuAbstract:This work addresses the problem of joint source-channel decoding of a Markov sequence which is first encoded by a source code, then encoded by a Convolutional code, and sent through a noisy memoryless channel. It is shown that for Markov sources satisfying the so-called Monge property, both the maximum a posteriori probability (MAP) sequence decoding, as well as the soft output Max-Log-MAP decoding can be accelerated by a factor of K without compromising the optimality, where K is the size of the Markov source alphabet. The key to achieve a higher decoding speed is a convenient organization of computations at the deCoder combined with a fast matrix search technique enabled by the Monge property. The same decrease in complexity follows, as a by-product of the development, for the soft output Max-Log-MAP joint source channel decoding in the case when the Convolutional Coder is absent, result which was not known previously.
Khalid Sayood - One of the best experts on this subject based on the ideXlab platform.
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a constrained joint source channel Coder design
IEEE Journal on Selected Areas in Communications, 1994Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The design of joint source/channel Coders in situations where there is residual redundancy at the output of the source Coder is examined. It has previously been shown that this residual redundancy can be used to provide error protection without a channel Coder. In this paper, this approach is extended to conventional source Coder/Convolutional Coder combinations. A family of nonbinary enCoders is developed which more efficiently use the residual redundancy in the source Coder output. It is shown through simulation results that the proposed systems outperform conventional source-channel Coder pairs with gains of greater than 9 dB in the reconstruction SNR at high probability of error. >
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A constrained joint source/channel Coder design
IEEE Journal on Selected Areas in Communications, 1994Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The design of joint source/channel Coders in situations where there is residual redundancy at the output of the source Coder is examined. It has previously been shown that this residual redundancy can be used to provide error protection without a channel Coder. In this paper, this approach is extended to conventional source Coder/Convolutional Coder combinations. A family of nonbinary enCoders is developed which more efficiently use the residual redundancy in the source Coder output. It is shown through simulation results that the proposed systems outperform conventional source-channel Coder pairs with gains of greater than 9 dB in the reconstruction SNR at high probability of error. >
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a joint source channel Coder design
International Conference on Communications, 1993Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The situation in which there is residual redundancy at the source Coder output is examined. It has previously been shown that this residual redundancy can be used to provide error correction without a channel enCoder. This approach is extended to conventional source Coder/Convolutional Coder combinations. A design for nonbinary enCoders for this situation is developed. It is shown through simulation results that the proposed systems consistently outperform conventional source-channel Coder pairs with gains of greater than 10 dB at high probability of error. >
Fuling Liu - One of the best experts on this subject based on the ideXlab platform.
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a constrained joint source channel Coder design
IEEE Journal on Selected Areas in Communications, 1994Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The design of joint source/channel Coders in situations where there is residual redundancy at the output of the source Coder is examined. It has previously been shown that this residual redundancy can be used to provide error protection without a channel Coder. In this paper, this approach is extended to conventional source Coder/Convolutional Coder combinations. A family of nonbinary enCoders is developed which more efficiently use the residual redundancy in the source Coder output. It is shown through simulation results that the proposed systems outperform conventional source-channel Coder pairs with gains of greater than 9 dB in the reconstruction SNR at high probability of error. >
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A constrained joint source/channel Coder design
IEEE Journal on Selected Areas in Communications, 1994Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The design of joint source/channel Coders in situations where there is residual redundancy at the output of the source Coder is examined. It has previously been shown that this residual redundancy can be used to provide error protection without a channel Coder. In this paper, this approach is extended to conventional source Coder/Convolutional Coder combinations. A family of nonbinary enCoders is developed which more efficiently use the residual redundancy in the source Coder output. It is shown through simulation results that the proposed systems outperform conventional source-channel Coder pairs with gains of greater than 9 dB in the reconstruction SNR at high probability of error. >
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a joint source channel Coder design
International Conference on Communications, 1993Co-Authors: Khalid Sayood, Fuling Liu, Jerry D. GibsonAbstract:The situation in which there is residual redundancy at the source Coder output is examined. It has previously been shown that this residual redundancy can be used to provide error correction without a channel enCoder. This approach is extended to conventional source Coder/Convolutional Coder combinations. A design for nonbinary enCoders for this situation is developed. It is shown through simulation results that the proposed systems consistently outperform conventional source-channel Coder pairs with gains of greater than 10 dB at high probability of error. >
Jiantao Zhou - One of the best experts on this subject based on the ideXlab platform.
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On the Security of Chaotic Convolutional Coder
IEEE Transactions on Circuits and Systems I: Regular Papers, 2011Co-Authors: Jiantao ZhouAbstract:This paper evaluates the security of the generalized chaotic Convolutional Coder, which is a recently proposed joint error-correction and encryption scheme integrating the chaotic encryption into the Convolutional coding. Our results show that the probability of fully recovering the pseudorandom sequence (PRS) controlling the chaotic switches is at least 0.289 under known-plaintext attack, if the number of available plaintext/ciphertext pairs p is equal to the constraint length k of the chaotic Convolutional Coder. In the case that p=k+e , where e ∈ Z+, we prove that the probability to fully deduce the PRS is lower bounded by 1-2-e. Furthermore, we propose four types of chosen-plaintext attack with different decoding complexities and efficiencies to fully derive the PRS.
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cryptanalysis of chaotic Convolutional Coder
International Symposium on Circuits and Systems, 2010Co-Authors: Jiantao ZhouAbstract:In this paper, we evaluate the security of a recently proposed joint error correction and encryption approach called chaotic Convolutional Coder, which integrates the chaotic encryption into the Convolutional coding. We show that the probability of recovering the key vector controlling the chaotic switch is at least 0.289 under known-plaintext attack, if the number of available plaintext/ciphertext pairs p is equal to the constraint length k of the chaotic Convolutional Coder. In the case that p = k + e, where e > 0, we prove that the probability to recover the key vector is lower bounded by 1–2−e. We also consider the security of the chaotic con-volutional Coder under chosen-plaintext attack. We propose two approaches to efficiently derive the key vector without leaving tractable pattern to the register. In particular, one of these two methods based on an efficient erasure code is capable of recovering the key vector with complexity of order O(k log k).