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TURBO DECODER USING LOCAL SUBSIDIARY MAXIMUM LIKELIHOOD DECODING IN PRIOR ESTIMATION OF THE EXTRINSIC INFORMATION
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作者 YangFengfan 《Journal of Electronics(China)》 2004年第2期89-96,共8页
A new technique for turbo decoder is proposed by using a local subsidiary maximum likelihood decoding and a probability distributions family for the extrinsic information. The optimal distribution of the extrinsic inf... A new technique for turbo decoder is proposed by using a local subsidiary maximum likelihood decoding and a probability distributions family for the extrinsic information. The optimal distribution of the extrinsic information is dynamically specified for each component decoder.The simulation results show that the iterative decoder with the new technique outperforms that of the decoder with the traditional Gaussian approach for the extrinsic information under the same conditions. 展开更多
关键词 Extrinsic information Generalized Gaussian distributions maximum likelihood decoding
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Combined simplified maximum likelihood and sphere decoding algorithm for MIMO system
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作者 ZHANG Lei YUAN Ting-ting ZHANG Xin YANG Da-cheng 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2008年第2期56-59,81,共5页
In this article, a new system model for sphere decoding (SD) algorithm is introduced. For the 2 × 2 multipleinput multiple-out (MIMO) system, a simplified maximum likelihood (SML) decoding algorithm is prop... In this article, a new system model for sphere decoding (SD) algorithm is introduced. For the 2 × 2 multipleinput multiple-out (MIMO) system, a simplified maximum likelihood (SML) decoding algorithm is proposed based on the new model. The SML algorithm achieves optimal maximum likelihood (ML) performance, and drastically reduces the complexity as compared to the conventional SD algorithm. The improved algorithm is presented by combining the sphere decoding algorithm based on Schnorr-Euchner strategy (SE-SD) with the SML algorithm when the number of transmit antennas exceeds 2. Compared to conventional SD, the proposed algorithm has low complexity especially at low signal to noise ratio (SNR). It is shown by simulation that the proposed algorithm has performance very close to conventional SD. 展开更多
关键词 maximum likelihood decoding sphere decoding MIMO COMPLEXITY
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Utilizing Probabilistic Linear Equations in Cube Attacks
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作者 Yuan Yao Bin Zhang Wen-Ling Wu 《Journal of Computer Science & Technology》 SCIE EI CSCD 2016年第2期317-325,共9页
Cube attacks, proposed by Dinur and Shamir at EUROCRYPT 2009, have shown huge power against stream ciphers. In the original cube attacks, a linear system of secret key bits is exploited for key recovery attacks. Howev... Cube attacks, proposed by Dinur and Shamir at EUROCRYPT 2009, have shown huge power against stream ciphers. In the original cube attacks, a linear system of secret key bits is exploited for key recovery attacks. However, we find a number of equations claimed linear in previous literature actually nonlinear and not fit into the theoretical framework of cube attacks. Moreover, cube attacks are hard to apply if linear equations are rare. Therefore, it is of significance to make use of probabilistic linear equations, namely nonlinear superpolys that can be approximated by linear expressions effectively. In this paper, we suggest a way to test out and utilize these probabilistic linear equations, thus extending cube attacks to a wider scope. Concretely, we employ the standard parameter estimation approach and the sequential probability ratio test (SPRT) for linearity test in the preprocessing phase, and use maximum likelihood decoding (MLD) for solving the probabilistic linear equations in the online phase. As an application, we exhibit our new attack against 672 rounds of Trivium and reduce the number of key bits to search by 7. 展开更多
关键词 cube attack sequential probability ratio test maximum likelihood decoding Trivium
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