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文献信息
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.
Computational ComplexitySignal ReconstructionArray Signal ProcessingCompressed SensingMedical Signal ProcessingSimulation ResultsSignal ProcessingDOA EstimationState EstimationRadar Signal ProcessingLeast Mean SquaresMIMO RadarDirection-Of-Arrival EstimationCramer-Rao Lower BoundEmpirical Mode DecompositionPerformance AnalysisSignal RecoveryBlind Source SeparationFinite Impulse ResponseOrthogonal Frequency Division Multiplexing
vol.2025 (2025)
vol.2024 (2024)
vol.2023 (2023)
vol.17 (2023)
vol.16 (2022)
vol.15 (2021)
vol.14 (2020)
vol.13 (2019)
vol.12 (2018)
vol.11 (2017)
vol.10 (2016)
vol.9 (2015)
vol.8 (2014)
vol.7 (2013)
vol.6 (2012)
vol.5 (2011)
vol.4 (2010)
vol.3 (2009)
vol.2 (2008)
vol.1 (2007)
Research Article