Automatic Autocorrelation and Spectral Analysis
Automatic Autocorrelation and Spectral Analysis gives random data a language to communicate the information they contain objectively. In the current practice of spectral analysis, subjective decisions have to be made all of which influence the final spectral estimate and mean that different analysts...
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Schriftenreihe: | Engineering (Springer-11647; ZDB-2-ENG)
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| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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| Edition sous un autre format: | • Automatic autocorrelation and spectral analysis, Piet M.T. Broersen, London, Springer, 2006, 1 vol. (XII-293 p.), 1-8462-8328-0 • Automatic Autocorrelation and Spectral Analysis, Texte imprimé, 9781849965811 • Automatic Autocorrelation and Spectral Analysis, Texte imprimé, 9781848004832 |
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|---|---|---|---|
| 001 | 937658 | ||
| 008 | 070511q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN114431809 | ||
| 020 | |a 9781846283291 (en ligne) | ||
| 041 | 0 | |a eng | |
| 082 | |a 620 | ||
| 100 | 1 | |a Boersen, Piet M. T. | |
| 245 | 1 | 0 | |a Automatic Autocorrelation and Spectral Analysis |c Piet M. T. Broersen. |
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Engineering (Springer-11647; ZDB-2-ENG) | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p. [287]-293. Index | ||
| 505 | 1 | |a Basic Concepts Periodogram and Lagged Product Autocorrelation ARMA Theory Relations for Time Series Models Estimation of Time Series Models AR Order Selection MA and ARMA Order Selection ARMASA Toolbox with Applications Advanced Topics in Time Series Estimation. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Automatic Autocorrelation and Spectral Analysis gives random data a language to communicate the information they contain objectively. In the current practice of spectral analysis, subjective decisions have to be made all of which influence the final spectral estimate and mean that different analysts obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that solution is only acceptable if it is close to the best attainable accuracy for most types of stationary data. Automatic Autocorrelation and Spectral Analysis describes a method which fulfils the above near-optimal-solution criterion. It takes advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data. Improved order selection quality guarantees that one of the best (and often the best) will be selected automatically. The data themselves suggest their best representation. Should the analyst wish to intervene, alternatives can be provided. Written for graduate signal processing students and for researchers and engineers using time series analysis for practical applications ranging from breakdown prevention in heavy machinery to measuring lung noise for medical diagnosis, this text offers: tuition in how power spectral density and the autocorrelation function of stochastic data can be estimated and interpreted in time series models; extensive support for the MATLAB® ARMAsel toolbox; applications showing the methods in action; appropriate mathematics for students to apply the methods with references for those who wish to develop them further. | ||
| 650 | |a Spectroscopie |x Méthodes statistiques | ||
| 650 | |a Traitement du signal |x Méthodes statistiques | ||
| 650 | |a Série chronologique | ||
| 650 | |a Autocorrélation (statistique) | ||
| 776 | 0 | |0 165532602 |t Automatic autocorrelation and spectral analysis |f Piet M.T. Broersen |c London |n Springer |d 2006 |p 1 vol. (XII-293 p.) |z 1-8462-8328-0 | |
| 776 | 0 | |t Automatic Autocorrelation and Spectral Analysis |b Texte imprimé |z 9781849965811 | |
| 776 | 0 | |t Automatic Autocorrelation and Spectral Analysis |b Texte imprimé |z 9781848004832 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-67GLX9NP-Q |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747907242 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/1-84628-329-9 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750920289 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/1-84628-329-9 |z Accès INSA CVL | |
| 997 | |0 937658 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||