Feature Extraction for Electromagnetic Environment Complexity Classification Based on Non-Negative Matrix Factorization

Bing Li; Yang Zhen; Lei  Zhang; Zhen Hua Fu

doi:10.4028/www.scientific.net/AMR.791-793.2100

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Feature Extraction for Electromagnetic Environment...

Feature Extraction for Electromagnetic Environment Complexity Classification Based on Non-Negative Matrix Factorization

Abstract:

Assessing the complexity degree of electromagnetic environments (EME) is a typical pattern recognition problem. Feature extraction is the most significant step for EME complexity classification tasks. In his work, a novel feature extraction scheme for EME complexity classification scheme based on non-negative matrix factorization (NMF) is presented. EME signals with four complexity degree are simulated to evaluate the effectiveness of the presented method. Experimental results reveal that the NMF based features to be desirable indices for accurate complexity degree evaluation of EME.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

2100-2103

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.2100

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Online since:

September 2013

Authors:

Bing Li, Yang Zhen, Lei Zhang, Zhen Hua Fu

Keywords:

Complexity Evaluation, Electromagnetic Environment (EME), Feature Extraction, Non-Negative Matrix Factorization

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