An iterative Wiener filtering method based on the gravity gradient invariants
How to deal with colored noises of GOCE (Gravity field and steady – state Ocean Circulation Explorer) satellite has been the key to data processing. This paper focused on colored noises of GOCE gradient data and the frequency spectrum analysis. According to the analysis results, gravity field model...
Main Authors: | Rui Zhou, Xiaoping Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2015-07-01
|
Series: | Geodesy and Geodynamics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674984715000671 |
Similar Items
-
Gradient-Based Iterative Identification for Wiener Nonlinear Dynamic Systems with Moving Average Noises
by: Lincheng Zhou, et al.
Published: (2015-08-01) -
Speech Enhancement Using Iterative Wiener Filter in the Linear Predictive Model
by: Jian-Jhang Su, et al.
Published: (2012) -
Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise
by: Junhong Li, et al.
Published: (2018-01-01) -
Cumulant Based Wiener Filtering
by: Chih-Chun Feng, et al.
Published: (1994) -
The earth’s gravity field recovery using the third invariant of the gravity gradient tensor from GOCE
by: Lin Cai, et al.
Published: (2021-02-01)