1 resultado para 1 sigma counting error
em CORA - Cork Open Research Archive - University College Cork - Ireland
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (6)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (7)
- Aquatic Commons (5)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (7)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (19)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- Biblioteca Valenciana Digital - Ministerio de Educación, Cultura y Deporte - Valencia - Espanha (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (48)
- Boston University Digital Common (2)
- Brock University, Canada (4)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (6)
- CentAUR: Central Archive University of Reading - UK (66)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (37)
- Cochin University of Science & Technology (CUSAT), India (8)
- Coffee Science - Universidade Federal de Lavras (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Montana Tech (4)
- DigitalCommons - The University of Maine Research (2)
- DigitalCommons@The Texas Medical Center (7)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (1)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (2)
- Helda - Digital Repository of University of Helsinki (15)
- Indian Institute of Science - Bangalore - Índia (104)
- Institutional Repository of Leibniz University Hannover (1)
- Massachusetts Institute of Technology (5)
- Ministerio de Cultura, Spain (13)
- National Center for Biotechnology Information - NCBI (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (8)
- Publishing Network for Geoscientific & Environmental Data (328)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (40)
- Queensland University of Technology - ePrints Archive (54)
- Repositorio Academico Digital UANL (1)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (3)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (97)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Universidad Politécnica de Madrid (2)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (12)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (6)
- University of Michigan (1)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (10)
Resumo:
Two classes of techniques have been developed to whiten the quantization noise in digital delta-sigma modulators (DDSMs): deterministic and stochastic. In this two-part paper, a design methodology for reduced-complexity DDSMs is presented. The design methodology is based on error masking. Rules for selecting the word lengths of the stages in multistage architectures are presented. We show that the hardware requirement can be reduced by up to 20% compared with a conventional design, without sacrificing performance. Simulation and experimental results confirm theoretical predictions. Part I addresses MultistAge noise SHaping (MASH) DDSMs; Part II focuses on single-quantizer DDSMs..