1 resultado para Markov-chain Monte Carlo
em Cochin University of Science
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- Adam Mickiewicz University Repository (1)
- AMS Campus - Alm@DL - Università di Bologna (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (9)
- Aquatic Commons (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (13)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (20)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (19)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (46)
- Boston University Digital Common (3)
- Brock University, Canada (10)
- Bulgarian Digital Mathematics Library at IMI-BAS (3)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (144)
- CentAUR: Central Archive University of Reading - UK (67)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (94)
- Cochin University of Science & Technology (CUSAT), India (1)
- Collection Of Biostatistics Research Archive (9)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (1)
- DigitalCommons@The Texas Medical Center (10)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Diposit Digital de la UB - Universidade de Barcelona (9)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (13)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (3)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (10)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (44)
- Instituto Politécnico do Porto, Portugal (5)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (4)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (62)
- Queensland University of Technology - ePrints Archive (149)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (9)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (62)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (27)
- Universidade Complutense de Madrid (2)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (2)
- Université de Montréal (1)
- Université de Montréal, Canada (19)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (2)
- University of Queensland eSpace - Australia (9)
- WestminsterResearch - UK (2)
Resumo:
While channel coding is a standard method of improving a system’s energy efficiency in digital communications, its practice does not extend to high-speed links. Increasing demands in network speeds are placing a large burden on the energy efficiency of high-speed links and render the benefit of channel coding for these systems a timely subject. The low error rates of interest and the presence of residual intersymbol interference (ISI) caused by hardware constraints impede the analysis and simulation of coded high-speed links. Focusing on the residual ISI and combined noise as the dominant error mechanisms, this paper analyses error correlation through concepts of error region, channel signature, and correlation distance. This framework provides a deeper insight into joint error behaviours in high-speed links, extends the range of statistical simulation for coded high-speed links, and provides a case against the use of biased Monte Carlo methods in this setting