IET信號處理發布了關于各種信號處理和機器學習主題的研究，涵蓋了檢測、估計、推理和分類問題中的各種應用、學科、模式和技術。發表的研究包括單維和高維數據分析的算法設計、稀疏性、線性和非線性系統、遞歸和非遞歸數字濾波器和多速率濾波器組，以及從傳感器陣列處理、基于深度卷積神經網絡的方法等一系列主題。對混沌理論的應用，還有更多。范圍涉及的主題包括但不限于：單、多維濾波器設計與實現進展線性和非線性、固定和自適應數字濾波器和多速率濾波器組統計信號處理技術與分析經典、參數和高階譜分析信號轉換和壓縮技術，包括時頻分析系統建模與自適應識別技術基于機器學習的信號處理方法信號處理的貝葉斯方法，包括蒙特卡羅馬爾可夫鏈和粒子濾波技術盲半盲信號分離技術的理論與應用語音信號分析、增強、編碼、合成和識別的信號處理技術音頻和電磁信號的定向和波束形成技術生物醫學信號分析技術通信信號傳輸和接收的基帶信號處理技術數據隱藏和音頻水印的信號處理技術稀疏信號處理與壓縮傳感

IET Signal Processing publishes research 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 by scope include, but are not limited to:advances in single and multi-dimensional filter design and implementationlinear and nonlinear, fixed and adaptive digital filters and multirate filter banksstatistical signal processing techniques and analysisclassical, parametric and higher order spectral analysissignal transformation and compression techniques, including time-frequency analysissystem modelling and adaptive identification techniquesmachine learning based approaches to signal processingBayesian methods for signal processing, including Monte-Carlo Markov-chain and particle filtering techniquestheory and application of blind and semi-blind signal separation techniquessignal processing techniques for analysis, enhancement, coding, synthesis and recognition of speech signalsdirection-finding and beamforming techniques for audio and electromagnetic signalsanalysis techniques for biomedical signalsbaseband signal processing techniques for transmission and reception of communication signalssignal processing techniques for data hiding and audio watermarkingsparse signal processing and compressive sensing