Foundations and Trends in Signal Processing

Aims & Scope

Foundations and Trends® in Signal Processing publishes survey and tutorial articles on the following topics: Adaptive signal processing; Audio signal processing; Biological and biomedical signal processing; Complexity in signal processing; Digital signal processing; Distributed and network signal processing; Image and video processing; Linear and nonlinear filtering; Multidimensional signal processing; Multimodal signal processing; Multirate signal processing; Multiresolution signal processing; Nonlinear signal processing; Randomized algorithms in signal processing; Sensor and multiple source signal processing, source separation; Signal decompositions, subband and transform methods, sparse representations; Signal processing for communications; Signal processing for security and forensic analysis, biometric signal processing; Signal quantization, sampling, analog-to-digital conversion, coding and compression; Signal reconstruction, digital-to-analog conversion, enhancement, decoding and inverse problems; Speech/audio/image/video compression; Speech and spoken language processing; Statistical/machine learning; Statistical signal processing

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5.7
2024	1.70

Journal Rank

Year	Value
2024	150

Journal Citation Indicator

Year	Value
2024	244

SJR (SCImago Journal Rank)

Year	Value
2024	7.305

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	22

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Deep Learning: Methods and Applications

  Citation: 2702

  Authors: Li, Dong

• Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

  Citation: 1592

  Authors: Emil, Jakob, Luca

• Foundations of User-Centric Cell-Free Massive MIMO

  Citation: 512

  Authors: Özlem Tugfe, Emil, Luca

• The Application of Hidden Markov Models in Speech Recognition

  Citation: 423

  Authors: Mark, Steve

• Using Inertial Sensors for Position and Orientation Estimation

  Citation: 260

  Authors: Manon, Jeroen D., Thomas B.

• Theory and Use of the EM Algorithm

  Citation: 218

  Authors: Maya R.

• Introduction to Digital Speech Processing

  Citation: 191

  Authors: Lawrence R., Ronald W.

• Block-Based Compressed Sensing of Images and Video

  Citation: 161

  Authors: James E.

• A Brief Introduction to Machine Learning for Engineers

  Citation: 76

  Authors: Osvaldo

• Deep Learning in Object Recognition, Detection, and Segmentation

  Citation: 75

  Authors: Xiaogang

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