Data Processing Algorithms

Data Processing Algorithms is a computational methodology within Fourier Transform Spectroscopy that systematically transforms raw interferometric data into resolved spectral information through mathematical operations such as Fourier transformation, apodization, and phase correction, distinguishing it from general data processing techniques by its domain-specific optimization for spectral accuracy and resolution.

1.5K

Publications

141.6K

Citations

6.4K

Authors

1.7K

Institutions

Publications per year

2017–2026

373

Authors

6.4K

  1. AM
    A. Mangilli

    Centre National de la Recherche Scientifique, France

    28 publications · 21.3K citations

    28

    h-index

  2. VP
    V. Pettorino

    Centre National de la Recherche Scientifique, France

    28 publications · 21.3K citations

    28

    h-index

  3. DM
    D. Mortlock

    Imperial College London, United Kingdom

    28 publications · 21.3K citations

    28

    h-index

  4. JM
    J. M. Diego

    Instituto de Física de Cantabria, Spain

    28 publications · 21.3K citations

    28

    h-index

  5. DH
    D. Herranz

    Scuola Internazionale Superiore di Studi Avanzati, Italy

    28 publications · 21.3K citations

    28

    h-index

1–5 of 6.4K

Venues

  1. Applied Optics

    49 publications · 9.9K citations

    30

    h-index

  2. Astronomy and Astrophysics

    35 publications · 21.5K citations

    30

    h-index

  3. Optics Express

    31 publications · 1.5K citations

    19

    h-index

  4. 18

    h-index

  5. 17

    h-index

1–5