CONSTRAINED NONLINEAR MINIMUM MSE ESTIMATION
We address the problem of minimum mean-squared error (MMSE) estimation where the estimator is constrained to belong to a predefined set of functions. We derive a simple closed form formula that reveals the structure of the restricted estimator for a wide class of constraints. Using this formula we study various types of constrained estimation problems that arise commonly in the fields of signal processing and communication.
Aimed at the problem of the configuration program of road maintenance machinery index difficult to quantify, by using the method of fuzzy comprehensive in highway maintenance machinery configuration evaluation, depicted some fuzzy phenomena with subjective qualitative description , closely integrated quantitative analysis and subjective qualitative description. Try to find a reasonable and workable evaluation approach. So that make the mechanization of highway maintenance and construction more scientific and practical