Parallel Approaches to Digital Signal Processing Algorithms with Applications in Medical Imaging

@article{Kapinchev2019ParallelAT,
  title={Parallel Approaches to Digital Signal Processing Algorithms with Applications in Medical Imaging},
  author={Konstantin Kapinchev and Adrian Bradu and Adrian Gh. Podoleanu},
  journal={2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)},
  year={2019},
  pages={1-7}
}
  • K. KapinchevA. BraduA. Podoleanu
  • Published 1 December 2019
  • Computer Science
  • 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)
This paper reviews established and emerging parallel technologies, which are employed to enhance the performance of digital signal processing algorithms. Special attention is paid to algorithms with applications in medical imaging. Parallel implementations of some of the most commonly used algorithms, such as Fourier transforms, convolution and cross-correlation are discussed. Parallel optimization of a newly introduced method in optical coherence tomography is presented. Its performance, in… 
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