Adjustment of nonuniform sampling locations in spatial data sets.

Adjustment of nonuniform sampling locations in spatial data sets.

This article describes a procedure for adjusting sampling locations in one spatially discretized data set to those in another when the value differences between these sets are mainly caused by the sampling intervals that locally lengthen and shorten. This adjustment is formulated into an optimizatio...

全面介绍

书目详细资料
发表在:IEEE Signal processing magazine 21, 3 (2004).
主要作者: Kamiyama, M.
格式: 文件
语言:English
主题:
Bayesian framework.
Dynamic programming.
Maximum a posteriori estimate.
Maximum likelihood procedure.
Nonlinear filtering.
Nonuniform sampling location adjustment.
Optimization.
Rail geometry data sets.
Spatially discretized data set.
State-space model.