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Iet Signal Processing

Journal Abbreviation: IET SIGNAL PROCESS
Journal ISSN: 1751-9675

About Iet Signal Processing

    IET Signal Processing publishes novel contributions in signal processing including: 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.
Year Impact Factor (IF) Total Articles Total Cites
2022 (2023 update) 1.7 - 1460
2021 1.819 - 1442
2020 1.489 71 1466
2019 1.692 91 1469
2018 1.754 140 1332
2017 1.250 133 1063
2016 1.298 117 839
2015 0.873 77 539
2014 0.911 104 483
2013 0.691 93 334
2012 0.714 80 211
2011 0.561 83 146
2010 0.741 71 107

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