IET Signal Processing

About this Journal

Aims and scope

IET Signal Processing publishes original research and review articles on a diverse range of signal processing and machine learning topics, covering a variety of applications, disciplines, modalities, and techniques in detection, estimation, inference, and classification problems. The research published includes advances in algorithm design for the analysis of single and high-multi-dimensional data, sparsity, linear and non-linear systems, recursive and non-recursive digital filters and multi-rate filter banks, as well a range of topics that span from sensor array processing, deep convolutional neural network based approaches to the application of chaos theory, and far more. 

Topics covered include, but are not limited to: 

  • Advances in single and multi-dimensional filter design and implementation 
  • Linear and nonlinear, fixed and adaptive digital filters and multirate filter banks 
  • Statistical signal processing techniques and analysis 
  • Classical, parametric and higher order spectral analysis 
  • Signal transformation and compression techniques, including time-frequency analysis 
  • System modelling and adaptive identification techniques 
  • Machine learning based approaches to signal processing 
  • Bayesian methods for signal processing, including Monte-Carlo Markov-chain and particle filtering techniques 
  • Theory and application of blind and semi-blind signal separation techniques 
  • Signal processing techniques for analysis, enhancement, coding, synthesis and recognition of speech signals 
  • Direction-finding and beamforming techniques for audio and electromagnetic signals 
  • Analysis techniques for biomedical signals 
  • Baseband signal processing techniques for transmission and reception of communication signals 
  • Signal processing techniques for data hiding and audio watermarking 
  • Sparse signal processing and compressive sensing 

    The IET Hindawi Partnership

    This journal is published by Hindawi as part of a publishing collaboration with The Institution of Engineering and Technology (IET). It is a fully open access journal produced under the Hindawi and IET brands. 

    The IET has a large scale publishing partnership with Wiley, who own Hindawi, and the Wiley IET Hub can be found here.

    Bibliographic information

    ISSN: 1751-9675 (Print) 

    ISSN: 1751-9683 (Online) 

    DOI: 10.1049/ietsp

      Archival content

      Content published prior to July 2023 is hosted on the Wiley Online Library and the IET Digital Library

        Open Access

        IET Signal Processing is an open access journal. All articles are immediately available to read and reuse upon publication. More information about our Open Access policy can be found on our copyright page.


          Editorial enquiries should be directed to [email protected].

          General enquiries should be directed to [email protected].


            IET Signal Processing
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             Journal metrics
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            Acceptance rate13%
            Submission to final decision92 days
            Acceptance to publication19 days
            Journal Citation Indicator0.370
            Impact Factor1.7
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