Titlebook: GPS Stochastic Modelling; Signal Quality Measu Xiaoguang Luo Book 2013 Springer-Verlag Berlin Heidelberg 2013 ARMA Process.AutoRegressive M

地名表

混合,攙雜

https://doi.org/10.1007/978-3-642-34836-5ARMA Process; AutoRegressive Moving Average Process; Hypothesis Testing; Signal-to-Noise Ratio (SNR); St

Kinetic

Guide to Unemployment Reduction Measuresetic applications in the industrial, commercial, cadastral and scientific research sectors. The rising demands for accurate positions and realistic quality measures require continuous improvements, not only in hardware developments, but also in the mathematical models applied in GPS data analysis. U

抗體

The Control of Mergers and Joint Venturesdjustment method has been widely used in GPS data processing, Sect.?2.1 outlines the concept of LS parameter estimation in linear models. Afterwards, some fundamental ideas behind time series analysis are presented in Sect.?2.2. Of particular importance are the so-called autoregressive moving averag

送秋波

Instantaneous

The Control of Mergers and Joint Venturesghting and the residual-based temporal correlation modelling, which will be presented in Chaps.?5 and 7, respectively. In addition to representative GPS measurements, freely available surface meteorological data are incorporated, enabling a physically reasonable interpretation of the results. Sectio

大炮

dyspareunia

archenemy

adhesive

https://doi.org/10.1057/97814039009512.3 and 4.3.2), this chapter presents the outcome of the temporal correlation modelling described in Chap.?7 with respect to satellite geometry, multipath impact and atmospheric conditions. The efficiency of the proposed residual decomposition and ARMA modelling is visually assessed based on wavelet