Sage, Andrew P.

Estimation theory with applications to communications and control - New York: McGraw Hill Book Company, 1971 - 498 páginas: Ilustraciones, 23 cm - McGraw-Hill Series in Systems Science .

Incluye índice: páginas 521-529

Bibliografía: páginas 505-518

1. Introductionto estimation theory -- 2. Review of probability theory and random variables -- 3. Stochastic processes -- 4. Gaus-Markov processes and stochastic differential equations -- 5. Decision theory -- 6. Basic estimation theory -- 7. The optimum linear filter -- 8. Extensions of the optimum linear filter -- 9. Nonlinear estimation

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TEORÍA DE DECISIÓN
ECUACIONES DIFERENCIALES
FILTROS