IET Signal Processing publishes topics such as algorithm advances in single and multi-dimensional, linear and non-linear, recursive and non-recursive digital filters and multi-rate filter banks; the application of chaos theory and neural network based approaches to signal processing.

Topics covered by scope include:

    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