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Featured Article: "A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics"

New Content Item (2)In this paper, Lia Ahrens, Julian Ahrens and Hans D. Schotten proposes a novel approach to detecting anomalies in time series exhibiting periodic characteristics, where we applied deep convolutional neural networks for phase classification and automated phase similarity tagging. They evaluated their approach on three example datasets corresponding to the domains of cardiology, industry, and signal processing, confirming that their method is feasible in a number of contexts.



Special Issues

Advances in Underwater Signal Processing for SONAR, AUV, and Communications Applications
EURASIP Journal on Advances in Signal Processing
Edited by: Indrakshi Dey, Fei-Yun Wu, Weimin Huang, and Xueli Sheng
Collection published 22 July 2022

Signal Processing over Higher Order Networks
EURASIP Journal on Advances in Signal Processing
Edited by: Stefania Sardellitti, Gonzalo Mateos, Michael T. Schaub and Santiago Segarra
Collection published 28 March 2022

Radar Signal Processing for Resource Aware Management
EURASIP Journal on Advances in Signal Processing
Edited by: Junkun Yan, Mahendra Mallick, Chenguang Shi, Ganggang Dong, Yun Zhu, and Danilo Orlando
Collection published 8 April 2022 

Signal Processing for Integrated Sensing and Communications
EURASIP Journal on Advances in Signal Processing
Edited by: Yimin D. Zhang, Elias Aboutanios, Wei Liu and Tsung-Hui Chang
Collection coming soon

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The EURASIP Journal on Advances in Signal Processing (JASP) welcomes Special Issues on timely topics related to the field of signal processing at large. The objective of Special Issues is to bring together recent and high quality works in a research domain, to promote key advances in signal processing, and to provide overviews of the state-of-the-art in emerging domains, to the general signal processing audience.

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The European Association for Signal Processing (EURASIP) was founded on 1 September 1978 to improve communication between groups and individuals that work within the multidisciplinary, fast growing field of signal processing in Europe and elsewhere, and to exchange and disseminate information in this field all over the world. The association exists to further the efforts of researchers by providing a learned and professional platform for dissemination and discussion of all aspects of signal processing including continuous- and discrete-time signal theory, applications of signal processing, systems and technology, speech communication, and image processing and communication.
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