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

Research article (Journal of Electronic Testing, 2016) · cited 20× · AI/ML
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Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation

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Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/mahalanobis-distance-based-approach-for-anomaly-detection-of-analog-filters-using-frequency-features-and-parzen-window-d
MLA “Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mahalanobis-distance-based-approach-for-anomaly-detection-of-analog-filters-using-frequency-features-and-parzen-window-d.
BibTeX @misc{4ortxyz_mahalanobis-distance-based-approach-for-anomaly-detection-of-analog-filters-using-frequency-features-and-parzen-window-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation}}, year = {2026}, url = {https://4ort.xyz/entity/mahalanobis-distance-based-approach-for-anomaly-detection-of-analog-filters-using-frequency-features-and-parzen-window-d}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mahalanobis Distance Based Approach for Anomaly Detection of Analog Filters Using Frequency Features and Parzen Window Density Estimation — https://4ort.xyz/entity/mahalanobis-distance-based-approach-for-anomaly-detection-of-analog-filters-using-frequency-features-and-parzen-window-d (retrieved 2026-05-24)

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