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Adaptive Filtering Algorithms

Special Issue Information

Dear Colleagues,

Adaptive filters are an important component of many signal processing, communication or computing systems. The main (but not exclusive) theme of this Special Issue is adaptive filtering algorithms for various system identification applications, such as echo cancellation, active noise control, hearing aids, channel estimation, etc. Low complexity or sparsity-aware adaptive algorithm implementations for speech and image applications are also envisaged. Since the application areas are becoming wider with the development of mobile devices, the importance of the robustness of the adaptive algorithms in adverse environments is also addressed. Therefore, advanced linear and non-linear approaches are needed to design adaptive algorithms that make use of last generation architectures and efficient computing approaches.

Prof. Dr. Felix Albu
Guest Editor

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • Recent developments in adaptive filtering algorithms
  • Adaptive system identification and channel modelling
  • Image and speech enhancement and processing using adaptive filters
  • Active noise control and echo reduction using adaptive algorithms
  • Adaptive filters for wireless system designs
  • Sparsity-aware adaptive algorithms and their efficient implementation

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Algorithms - ISSN 1999-4893
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