Entropy estimation (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Entropy estimation" in English language version.

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arxiv.org

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doi.org

  • Dinh-Tuan Pham (2004) Fast algorithms for mutual information based independent component analysis. In Signal Processing. Volume 52, Issue 10, 2690–2700, doi:10.1109/TSP.2004.834398
  • Chang, C.-I.; Du, Y.; Wang, J.; Guo, S.-M.; Thouin, P.D. (2006) Survey and comparative analysis of entropy and relative entropy thresholding techniques. In Vision, Image and Signal Processing, Volume 153, Issue 6, 837–850, doi:10.1049/ip-vis:20050032
  • Martins, D. C. et al. (2008) Intrinsically Multivariate Predictive Genes. In Selected Topics in Signal Processing. Volume 2, Issue 3, 424–439, doi:10.1109/JSTSP.2008.923841
  • Gue Jun Jung; Yung-Hwan Oh (2008) Information Distance-Based Subvector Clustering for ASR Parameter Quantization. In Signal Processing Letters, Volume 15, 209–212, doi:10.1109/LSP.2007.913132
  • Costa, J.A.; Hero, A.O. (2004), Geodesic entropic graphs for dimension and entropy estimation in manifold learning. In Signal Processing, Volume 52, Issue 8, 2210–2221, doi:10.1109/TSP.2004.831130
  • Benesty, J.; Yiteng Huang; Jingdong Chen (2007) Time Delay Estimation via Minimum Entropy. In Signal Processing Letters, Volume 14, Issue 3, March 2007 157–160 doi:10.1109/LSP.2006.884038
  • T. Schürmann, Bias analysis in entropy estimation. In J. Phys. A: Math. Gen, 37 (2004), pp. L295–L301. doi:10.1088/0305-4470/37/27/L02
  • Pinchas A., Ben-Gal I., Painsky A. (2024) (2024). "A Comparative Analysis of Discrete Entropy Estimators for Large-Alphabet Problems" (PDF). Entropy. 26 (5). Entropy. 2024; 26(5):369. doi:10.3390/e26050369: 369. Bibcode:2024Entrp..26..369P. doi:10.3390/e26050369. PMC 11120205. PMID 38785618.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)
  • Shalev y., Painsky A., and Ben-Gal I. (2022) (2024). "Neural Joint Entropy Estimation" (PDF). IEEE Transactions on Neural Networks and Learning Systems. 35 (4). IEEE Transactions on Neural Network and Learning Systems (TNNLS): 5488–5500. arXiv:2012.11197. doi:10.1109/TNNLS.2022.3204919. PMID 36155469.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)

harvard.edu

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nih.gov

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

pe.org.pl

  • Marek Lesniewicz (2014) Expected Entropy as a Measure and Criterion of Randomness of Binary Sequences [1] In Przeglad Elektrotechniczny, Volume 90, 1/2014, pp. 42– 46.
  • Marek Lesniewicz (2016) Analyses and Measurements of Hardware Generated Random Binary Sequences Modeled as Markov Chains [2] In Przeglad Elektrotechniczny, Volume 92, 11/2016, pp. 268-274.

tau.ac.il

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