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Signals | Seeking Conference Cooperation

12 November 2021

According to the aims and scope of the journal, we plan to seek cooperation with conferences from 2021 to 2023. We welcome consultations with all signal-related conferences.

As a partner, we provide the following:

  • You may publish some selected papers (or proceedings) in the form of a Special Issue "Selected Papers from Conference", which we would specifically create. All selected papers will be published in open access form, after peer review;
  • Conference promotion through a banner on the journal homepage;
  • Brief description of the conference on the journal’s webpage;
  • We can sponsor a certain amount of the conference funds.

To apply for this cooperation, recommend potential candidates, or request further information, please contact the Signals Editorial Office (signals@mdpi.com). Interested applicants may contact us with the following information:

  • A short Curriculum Vitae;
  • Basic information on the Conference;
  • Your role in the conference.

We will consider the overall situation of the candidates and select partners for cooperation.

Signals (ISSN 2624-6120) is an international, peer-reviewed, open access journal of signals and signal processing, published quarterly online by MDPI, Basel, Switzerland. The journal has been indexed within Scopus, SCIE (Web of Science), CAPlus / SciFinder, Inspec, and many other databases.

The scope of Signals includes, but is not limited to:

  • Theories, algorithms, and methods;
  • Statistical methods and machine learning for signals;
  • Activity recognition, event detection, anomaly detection;
  • Pattern recognition, classification, and mining;
  • Information theoretic approach;
  • Adaptive filtering and systems;
  • Multidimensional and multivariate signal processing;
  • Multimodal approach and multimedia;
  • Graph-theoretic approach;
  • Cryptography and coding for signals;
  • Signal separation, extraction, and factorization;
  • Signal processing and analysis with biological and chemical sensors.

These topics have various applications in audio/acoustics, speech, natural language, biomedical data, communications, image, video, social data, sensor data, etc.

Signals Editorial Office