Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation

Journal of Electronic Testing: Theory and Applications (JETTA)

Volumn 32, Issue 6, 2016, Pages 681-693

  Hu, Zewen ^a   Xiao, Mingqing ^a   Zhang, Lei ^a   Liu, Shuai ^a   Ge, Yawei ^a  

^a AIR FORCE ENGINEERING UNIVERSITY   (China)

Author keywords

Analog filters; Anomaly detection; Frequency features; Mahalanobis distance (MD); One class SVM (OCSVM); Parzen window

Indexed keywords

BANDPASS FILTERS; FREQUENCY ESTIMATION; FREQUENCY RESPONSE; PROBABILITY DENSITY FUNCTION; SIGNAL DETECTION;

ANALOG FILTERS; ANOMALY DETECTION; FREQUENCY FEATURES; MAHALANOBIS DISTANCES; ONE CLASS-SVM; PARZEN WINDOWS;

FEATURE EXTRACTION;

EID: 84994433826     PISSN: 09238174     EISSN: 15730727     Source Type: Journal    
DOI: 10.1007/s10836-016-5623-z     Document Type: Article

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