Results 31 to 40 of about 3,023,466 (332)
Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method [PDF]
, 2012 For blind deconvolution of an unknown sparse sequence convolved with an unknown pulse, a powerful Bayesian method employs the Gibbs sampler in combination with a Bernoulli–Gaussian prior modeling sparsity.
Dobigeon, Nicolas +3 more
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IEEE Access, 2018 Spatially coupled protograph (SC-P) low-density parity-check codes can achieve excellent performance and simple implementation when the coupling length is sufficiently large. However, in the case of small coupling lengths, terminated SC-P (TE-SC-P) codes
Zhaojie Yang +4 more
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IEEE Access, 2020 For electronic nose systems to obtain meaningful information from sensor data, sensor response features are first extracted for further signal processing. However, redundant features may diminish the accuracy of gas classification. To solve this problem,
Yen-Tung Liu, Kea-Tiong Tang
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Delta-Adjust: Minimum Distance Interpolation
IEEE AccessWe present Delta-Adjust, a novel interpolation method that extends local neighborhood interpolation techniques by introducing per-feature neighbor selection and feature-vector difference bias adjustment.
Ziad F. Doughan, Sari S. Itani
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Coding with Constraints: Minimum Distance Bounds and Systematic Constructions [PDF]
, 2015 We examine an error-correcting coding framework in which each coded symbol is constrained to be a function of a fixed subset of the message symbols. With an eye toward distributed storage applications, we seek to design systematic codes with good minimum
Halbawi, Wael +2 more
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IEEE Access, 2018 In this paper, a new systematic construction of optimized protograph generalized low-density parity-check codes with good decoding threshold and low error floor is proposed.
Jianrong Bao, Bin Jiang, Chao Liu
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Efficient Simulation-Based Minimum Distance Estimation and Indirect Inference [PDF]
, 2009 Given a random sample from a parametric model, we show how indirect inference estimators based on appropriate nonparametric density estimators (i.e., simulation-based minimum distance estimators) can be constructed that, under mild assumptions, are ...
Nickl, Richard, Pötscher, Benedikt M.
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Reversible Self-Dual Codes over Finite Field
Cauchy: Jurnal Matematika Murni dan AplikasiReversible self-dual code is a linear code which combine the properties from self-dual code and reversible code. Previous research shows that reversible self-dual codes have only been developed over field of order 2 and order 4.
Ardi Nur Hidayat +2 more
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Applied SciencesThe degree of urbanization and the uncontrolled expansion of the built environment play a defining role in shaping contemporary society, contributing significantly to abrupt temperature fluctuations and a declining quality of life.
Oana Mihaela Bîscoveanu +3 more
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Unsupervised Ensemble Hashing: Boosting Minimum Hamming Distance
IEEE Access, 2020 Hashing aims at learning discriminative binary codes of high-dimensional data for the approximate nearest neighbor searching. However, the distance ranking obtained by traditional methods is not optimum in the Hamming space, and it degrades the ...
Yufei Zha +3 more
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