Digital spectral analysis with applications
Tipo de material:
- 0 13 214149 3
- 517/M26
Contenidos:
1. Introduction -- 2. Review of linear systems and transform theory -- 3. Review of matrix algebra -- 4. Review of random process theory -- 5. Classical spectral estimation -- 6. Parametric models of random processes -- 7. Autoregressive process and spectrum properties -- 8. Autoregressive spectral estimation: block data algorithms -- 9. Autoregressive spectral stimation: sequential data algorithms -- 10. Autoregressive-moving average spectral estimation -- 11. Prony's method -- 12. Minimum variance spectral estimation
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Código de barras | |
---|---|---|---|---|---|---|---|
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Jicamarca | Colección Bibliográfica | 517/M26 (Navegar estantería(Abre debajo)) | 1 | Disponible | ROJ0000350 |
Total de reservas: 0
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517.5:533.9/F83 The plasma dispersion function: | 517/A32 Finite element analysis for undergraduates | 517/J73 Mathematical techniques | 517/M26 Digital spectral analysis with applications | 517.2/A59 Calculus with analytic geometry | 517.4/S31 Div, grad, curl, and all that: | 517.442/D72 Guide to the applications of Laplace transforms |
Incluye índice: páginas 485-492
1. Introduction -- 2. Review of linear systems and transform theory -- 3. Review of matrix algebra -- 4. Review of random process theory -- 5. Classical spectral estimation -- 6. Parametric models of random processes -- 7. Autoregressive process and spectrum properties -- 8. Autoregressive spectral estimation: block data algorithms -- 9. Autoregressive spectral stimation: sequential data algorithms -- 10. Autoregressive-moving average spectral estimation -- 11. Prony's method -- 12. Minimum variance spectral estimation