AIMS AND SCOPE

The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Signal Processing publishes high-quality survey and tutorial articles of the field.

Each issue of Foundations and Trends® in Signal Processing comprises a 50-100 page article written by research leaders in the field. Articles that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal.

EDITORIAL SCOPE

Foundations and Trends® in Signal Processing publishes survey and tutorial articles on the following topics:

  • Adaptive signal processing
  • Audio signal processing
  • Biological and biomedical signal processing
  • Complexity in signal processing
  • Digital signal processing
  • Distributed and network signal processing
  • Linear and nonlinear filtering
  • Multidimensional signal processing
  • Multimodal signal processing
  • Multirate signal processing
  • Multiresolution signal processing
  • Nonlinear signal processing
  • Randomized algorithms in signal processing
  • Sensor and multiple source signal processing, source separation
  • Signal decompositions, subband and transform methods, sparse representations
  • Signal processing for communications
  • Signal processing for security and forensic analysis, biometric signal processing
  • Signal quantization, sampling, analog-to-digital conversion, coding and compression
  • Signal reconstruction, digital-to-analog conversion, enhancement, decoding and inverse problems
  • Speech/audio/image/video compression
  • Speech and spoken language processing
  • Statistical/machine learning
  • Statistical signal processing
  • Classification and detection
  • Estimation and regression
  • Tree-structured methods
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