Cooperative and graph signal processing: principles and applications
1.3 Centralized Adaptation and Learning1.3.1 Noncooperative MSE Processing; 1.3.2 Centralized MSE Processing; 1.3.3 Stochastic-Gradient Centralized Solution; 1.3.4 Performance of Centralized Solution; 1.3.5 Comparison With Noncooperative Processing; 1.4 Synchronous Multiagent Adaptation and Learning...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London, United Kingdom
Academic Press, an imprint of Elsevier
[2018]
|
| Schlagworte: | |
| Zusammenfassung: | 1.3 Centralized Adaptation and Learning1.3.1 Noncooperative MSE Processing; 1.3.2 Centralized MSE Processing; 1.3.3 Stochastic-Gradient Centralized Solution; 1.3.4 Performance of Centralized Solution; 1.3.5 Comparison With Noncooperative Processing; 1.4 Synchronous Multiagent Adaptation and Learning; 1.4.1 Strongly Connected Networks; 1.4.2 Distributed Optimization; 1.4.3 Synchronous Consensus Strategy; 1.4.4 Synchronous Diffusion Strategies; 1.5 Asynchronous Multiagent Adaptation and Learning; 1.5.1 Asynchronous Model; 1.5.2 Mean Graph; 1.5.3 Random Combination Policy 1.5.4 Perron Vectors1.6 Asynchronous Network Performance; 1.6.1 MSD Performance; 1.7 Network Stability and Performance; 1.7.1 MSE Networks; 1.7.2 Diffusion Networks; 1.8 Concluding Remarks; References; Chapter 2: Estimation and Detection Over Adaptive Networks; 2.1 Introduction; 2.2 Inference Over Networks; 2.2.1 Canonical Inference Problems; 2.2.2 Distributed Inference Problem; Architectures with fusion center; Fully flat architectures; 2.2.3 Inference Over Adaptive Networks; 2.3 Diffusion Implementations; 2.4 Distributed Adaptive Estimation (DAE) 2.4.1 Constructing the Distributed Adaptive Estimation Algorithm2.4.2 Mean-Square-Error Performance; 2.4.3 Useful Comparisons; 2.4.4 DAE at Work; 2.5 Distributed Adaptive Detection (DAD); 2.5.1 Constructing the Distributed Adaptive Detection Algorithm; 2.5.2 Detection Performance; 2.5.3 Weak Law of Small Step-Sizes; 2.5.4 Asymptotic Normality; 2.5.5 Large Deviations; 2.5.6 Refined Large Deviations Analysis: Exact Asymptotics; 2.5.7 DAD at Work; 2.6 Universal Scaling Laws: Estimation Versus Detection; Appendix; A.1 Procedure to Evaluate Eq. (2.69); References |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xxviii, 837 Seiten Illustrationen, Diagramme |
| ISBN: | 9780128136775 |
Internformat
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| 100 | 1 | |a Djurić, Petar M. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Cooperative and graph signal processing |b principles and applications |c edited by Petar M. Djurić, Cédric Richard |
| 264 | 1 | |a London, United Kingdom |b Academic Press, an imprint of Elsevier |c [2018] | |
| 300 | |a xxviii, 837 Seiten |b Illustrationen, Diagramme | ||
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| 500 | |a Includes bibliographical references and index | ||
| 520 | 3 | |a 1.3 Centralized Adaptation and Learning1.3.1 Noncooperative MSE Processing; 1.3.2 Centralized MSE Processing; 1.3.3 Stochastic-Gradient Centralized Solution; 1.3.4 Performance of Centralized Solution; 1.3.5 Comparison With Noncooperative Processing; 1.4 Synchronous Multiagent Adaptation and Learning; 1.4.1 Strongly Connected Networks; 1.4.2 Distributed Optimization; 1.4.3 Synchronous Consensus Strategy; 1.4.4 Synchronous Diffusion Strategies; 1.5 Asynchronous Multiagent Adaptation and Learning; 1.5.1 Asynchronous Model; 1.5.2 Mean Graph; 1.5.3 Random Combination Policy | |
| 520 | 3 | |a 1.5.4 Perron Vectors1.6 Asynchronous Network Performance; 1.6.1 MSD Performance; 1.7 Network Stability and Performance; 1.7.1 MSE Networks; 1.7.2 Diffusion Networks; 1.8 Concluding Remarks; References; Chapter 2: Estimation and Detection Over Adaptive Networks; 2.1 Introduction; 2.2 Inference Over Networks; 2.2.1 Canonical Inference Problems; 2.2.2 Distributed Inference Problem; Architectures with fusion center; Fully flat architectures; 2.2.3 Inference Over Adaptive Networks; 2.3 Diffusion Implementations; 2.4 Distributed Adaptive Estimation (DAE) | |
| 520 | 3 | |a 2.4.1 Constructing the Distributed Adaptive Estimation Algorithm2.4.2 Mean-Square-Error Performance; 2.4.3 Useful Comparisons; 2.4.4 DAE at Work; 2.5 Distributed Adaptive Detection (DAD); 2.5.1 Constructing the Distributed Adaptive Detection Algorithm; 2.5.2 Detection Performance; 2.5.3 Weak Law of Small Step-Sizes; 2.5.4 Asymptotic Normality; 2.5.5 Large Deviations; 2.5.6 Refined Large Deviations Analysis: Exact Asymptotics; 2.5.7 DAD at Work; 2.6 Universal Scaling Laws: Estimation Versus Detection; Appendix; A.1 Procedure to Evaluate Eq. (2.69); References | |
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| 700 | 1 | |a Richard, Cédric |e Verfasser |4 aut | |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-0-12-813677-5 |
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Datensatz im Suchindex
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| author | Djurić, Petar M. Richard, Cédric |
| author_facet | Djurić, Petar M. Richard, Cédric |
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| author_sort | Djurić, Petar M. |
| author_variant | p m d pm pmd c r cr |
| building | Verbundindex |
| bvnumber | BV045145992 |
| classification_rvk | ZN 6025 |
| ctrlnum | (OCoLC)1050945880 (DE-599)BVBBV045145992 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV045145992 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:09:57Z |
| institution | BVB |
| isbn | 9780128136775 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030535737 |
| oclc_num | 1050945880 |
| open_access_boolean | |
| owner | DE-92 DE-83 |
| owner_facet | DE-92 DE-83 |
| physical | xxviii, 837 Seiten Illustrationen, Diagramme |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Academic Press, an imprint of Elsevier |
| record_format | marc |
| spelling | Djurić, Petar M. Verfasser aut Cooperative and graph signal processing principles and applications edited by Petar M. Djurić, Cédric Richard London, United Kingdom Academic Press, an imprint of Elsevier [2018] xxviii, 837 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index 1.3 Centralized Adaptation and Learning1.3.1 Noncooperative MSE Processing; 1.3.2 Centralized MSE Processing; 1.3.3 Stochastic-Gradient Centralized Solution; 1.3.4 Performance of Centralized Solution; 1.3.5 Comparison With Noncooperative Processing; 1.4 Synchronous Multiagent Adaptation and Learning; 1.4.1 Strongly Connected Networks; 1.4.2 Distributed Optimization; 1.4.3 Synchronous Consensus Strategy; 1.4.4 Synchronous Diffusion Strategies; 1.5 Asynchronous Multiagent Adaptation and Learning; 1.5.1 Asynchronous Model; 1.5.2 Mean Graph; 1.5.3 Random Combination Policy 1.5.4 Perron Vectors1.6 Asynchronous Network Performance; 1.6.1 MSD Performance; 1.7 Network Stability and Performance; 1.7.1 MSE Networks; 1.7.2 Diffusion Networks; 1.8 Concluding Remarks; References; Chapter 2: Estimation and Detection Over Adaptive Networks; 2.1 Introduction; 2.2 Inference Over Networks; 2.2.1 Canonical Inference Problems; 2.2.2 Distributed Inference Problem; Architectures with fusion center; Fully flat architectures; 2.2.3 Inference Over Adaptive Networks; 2.3 Diffusion Implementations; 2.4 Distributed Adaptive Estimation (DAE) 2.4.1 Constructing the Distributed Adaptive Estimation Algorithm2.4.2 Mean-Square-Error Performance; 2.4.3 Useful Comparisons; 2.4.4 DAE at Work; 2.5 Distributed Adaptive Detection (DAD); 2.5.1 Constructing the Distributed Adaptive Detection Algorithm; 2.5.2 Detection Performance; 2.5.3 Weak Law of Small Step-Sizes; 2.5.4 Asymptotic Normality; 2.5.5 Large Deviations; 2.5.6 Refined Large Deviations Analysis: Exact Asymptotics; 2.5.7 DAD at Work; 2.6 Universal Scaling Laws: Estimation Versus Detection; Appendix; A.1 Procedure to Evaluate Eq. (2.69); References Signaltheorie (DE-588)4054945-8 gnd rswk-swf Signaltheorie (DE-588)4054945-8 s DE-604 Richard, Cédric Verfasser aut Erscheint auch als Online-Ausgabe 978-0-12-813678-2 Erscheint auch als Online-Ausgabe 978-0-12-813677-5 |
| spellingShingle | Djurić, Petar M. Richard, Cédric Cooperative and graph signal processing principles and applications Signaltheorie (DE-588)4054945-8 gnd |
| subject_GND | (DE-588)4054945-8 |
| title | Cooperative and graph signal processing principles and applications |
| title_auth | Cooperative and graph signal processing principles and applications |
| title_exact_search | Cooperative and graph signal processing principles and applications |
| title_full | Cooperative and graph signal processing principles and applications edited by Petar M. Djurić, Cédric Richard |
| title_fullStr | Cooperative and graph signal processing principles and applications edited by Petar M. Djurić, Cédric Richard |
| title_full_unstemmed | Cooperative and graph signal processing principles and applications edited by Petar M. Djurić, Cédric Richard |
| title_short | Cooperative and graph signal processing |
| title_sort | cooperative and graph signal processing principles and applications |
| title_sub | principles and applications |
| topic | Signaltheorie (DE-588)4054945-8 gnd |
| topic_facet | Signaltheorie |
| work_keys_str_mv | AT djuricpetarm cooperativeandgraphsignalprocessingprinciplesandapplications AT richardcedric cooperativeandgraphsignalprocessingprinciplesandapplications |