@inproceedings{9a6a3c368ba84288bb42051dd2575cb8,
title = "An improved independent component analysis by reference signals and its application on source contribution estimation",
abstract = "To estimate the contribution of main vibration and noise sources of vehicles, a source contribution estimation method based on an improved independent component analysis (ICA) algorithm is proposed. A measure of the similarity between the independent components and the reference signals with given characteristics is introduced. A widely used contrast function, namely kurtosis, is enhanced by the measure to obtain an improved contrast function. By means of fixed-point iteration and deflation approach, the improved contrast function is optimized and the improved ICA algorithm is attained. The contribution is computed by the reduced energy in each extraction, the reduction of the energy corresponds to the contribution of the extracted independent components. The correspondence relationship between the independent components (ICs) and source signals can be obtained by the signal characteristics. The effectiveness of the proposed algorithm is verified by numerical simulation and experiment.",
keywords = "contrast function, improved ICA, source contribution estimation",
author = "Jie Zhang and Zhousuo Zhang and Binqiang Chen and Wei Cheng and Zhibo Yang and Zhengjia He",
year = "2013",
doi = "10.1109/I2MTC.2013.6555656",
language = "英语",
isbn = "9781467346221",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
pages = "1459--1464",
booktitle = "2013 IEEE International Instrumentation and Measurement Technology Conference",
note = "2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 ; Conference date: 06-05-2013 Through 09-05-2013",
}