000 | 01460nam a2200289 a 4500 | ||
---|---|---|---|
001 | 000010680 | ||
005 | 20160221094305.0 | ||
008 | 091216s2000 xxudl grgo 001 0 eng d | ||
942 | _c | ||
020 |
_a0130224642 _c(pasta blanda) |
||
040 | _aCO-BrUAC | ||
041 | 0 | _aeng | |
082 | 0 | 4 |
_221 ed. _a519.544 _bK13 |
100 | 1 | _aKailath, Thomas | |
245 | 1 | 0 |
_aLinear estimation / _cThomas Kailath, A. H. Sayed, B. Hassibi. |
260 |
_aNew Jersey : _bPrentice Hall, _c2000. |
||
300 |
_a854p.; : _bil., gráficas, diagramas, etc. |
||
504 | _aIncluye bibliografía, indice, etc. | ||
505 | 0 |
_gCap. _g1. _tOverview -- _g2. _tDeterministic least-squares problems -- _g3. _tStochastic least-squares problems -- _g4. _tThe innovations process -- _g5. _tState-space models -- _g6. _tInnovations for stationary processes -- _g7. _tWiener theory for scala processes -- _g8. _tRecursive wiener filtering -- _g9. _tThe kalman filter -- _g10. _tSmoothed estimators -- _g11. _tFast algorithms -- _g12. _tArry algorithms -- _g13. _tFast array algorithms -- _g14. _tAsymptotic behavior -- _g15. _tDuality and equivalence in estimation and control -- _g16. _tContinuous - times state - space estimation -- _g17. _tA scattering theory appoach. |
|
544 | 1 |
_aDisponible en la Colección General. _bbibliotea Central |
|
650 | 1 | 4 |
_aEstimation _xTheory |
650 | 1 | 4 | _aLeast Squares |
650 | 1 | 4 | _aMinimos Cuadrados |
650 | 1 | 4 | _aEstadística Matemática |
700 | 1 | _aSayed, A. H. | |
700 | 1 | _aHassibi, B. | |
999 |
_c10627 _d10627 |