Non-Gaussian noise models in signal processing for telecommunications: new methods an results for class A and class B noise models
From MaRDI portal
Publication:4701366
DOI10.1109/18.761256zbMath0959.94004OpenAlexW2171998198MaRDI QIDQ4701366
Publication date: 21 November 1999
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/18.761256
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)
Related Items (12)
Pulse nonstationary processes generated by dynamic systems with random structure ⋮ Goodness-of-fit test for \(\alpha\)-stable distribution based on the quantile conditional variance statistics ⋮ Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments ⋮ Asymptotic properties of Spearman's footrule and Gini's gamma in bivariate normal model ⋮ Robust spatial time-frequency distribution matrix estimation with application to direction-of-arrival estimation ⋮ Measures of Cross‐Dependence for Bidimensional Periodic AR(1) Model with α‐Stable Distribution ⋮ Sign function based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian noise environments ⋮ Noise reduction via harmonic estimation in Gaussian and non-Gaussian environments ⋮ Probability functional of a vector non-Gaussian Markov process and its communication application ⋮ Blind detection in symmetric non-Gaussian noise with unknown PDF using maximum entropy method with moment generating function constraints ⋮ Numerical algorithms for mean exit time and escape probability of stochastic systems with asymmetric Lévy motion ⋮ Over-the-Air computation for distributed machine learning and consensus in large wireless networks
This page was built for publication: Non-Gaussian noise models in signal processing for telecommunications: new methods an results for class A and class B noise models
