Simple least squares estimation versus best linear unbiased prediction
β Scribed by J.K. Baksalary; R. Kala
- Publisher
- Elsevier Science
- Year
- 1981
- Tongue
- English
- Weight
- 626 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract The longitudinal relaxation time, __T__~1~, can be estimated from two or more spoiled gradient recalled echo images (SPGR) acquired with different flip angles and/or repetition times (TRs). The function relating signal intensity to flip angle and TR is nonlinear; however, a linear form
The least mean squared error linear one-stage predictor and filter are derived for discrete-time distributed parameter systems with uncertain observations. The measurements are taken at several fixed points of the spatial domain. We have used an orthogonal projection approach.