Title :
A robust algorithm to repair the lost signal in dynamic observation
Author :
Zhu Zhuan Min ; QinKe, Peng ; Yang Yikang ; Huang YongXuan
Author_Institution :
Inst. of Syst. Eng., Xi´´an Jiaotong Univ., China
Abstract :
In measurement, the effect of disturbance in the observed signals becomes a distortion or a lost, and it affects the continuous and smoothness of trajectory. Based on the least-square method and main elements analysis, this paper proposed a robust algorithm to repair the lost and distortion data. The simulation demonstrates the great improvement of the method in the processing accuracy.
Keywords :
distortion; least mean squares methods; signal processing; smoothing methods; dynamic observation; least-square method; main elements analysis; observed signals; robust algorithm; Algorithm design and analysis; Distortion measurement; Loss measurement; Modeling; Parameter estimation; Recursive estimation; Robustness; Sampling methods; Signal analysis; Systems engineering and theory;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279343
