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Multidimensional Signal Processing and Applications—New Approaches

  • 2023
  • OriginalPaper
  • Chapter
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Abstract

The chapter delves into the complexities of multidimensional signal processing, highlighting the use of tensor decomposition methods combined with deep learning for efficient data analysis. It introduces new algorithms for video object tracking, audio classification, and medical signal processing, showcasing their potential in enhancing surveillance systems, educational tools, and healthcare diagnostics. The research also explores the development of intelligent systems for various industries, demonstrating the versatility and power of these new approaches in multidimensional signal processing.

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Title
Multidimensional Signal Processing and Applications—New Approaches
Authors
Roumen Kountchev
Rumen Mironov
Ivo Draganov
Roumiana Kountcheva
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-7842-5_1
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