Spectral Interpolation

Spectral Interpolation is a computational technique in spectral data processing that estimates intermediate spectral values between discrete data points by applying mathematical functions to enhance spectral resolution while preserving the intrinsic spectral characteristics of the signal.

199

Publications

13.2K

Citations

404

Authors

231

Institutions

Publications per year

2017–2026

33

Authors

404

  1. ES
    Elyas Shivanian

    Imam Khomeini International University, Iran

    10 publications · 408 citations

    10

    h-index

  2. DB
    Daniel Belega

    Polytechnic University of Timişoara, Romania

    5 publications · 303 citations

    5

    h-index

  3. MB
    Melvin B. Comisarow

    University of British Columbia, Canada

    5 publications · 113 citations

    5

    h-index

  4. AJ
    Ahmad Jafarabadi

    Imam Khomeini International University, Iran

    5 publications · 138 citations

    5

    h-index

  5. DD
    Dominique Dallet

    Université de Bordeaux, France

    4 publications · 213 citations

    4

    h-index

1–5 of 404

Venues

  1. 8

    h-index

  2. Applied Spectroscopy

    6 publications · 158 citations

    6

    h-index

  3. Mathematics of Computation

    MCOM · 5 publications · 149 citations

    5

    h-index

  4. IEEE Transactions on Signal Processing

    5 publications · 629 citations

    5

    h-index

  5. Monthly Weather Review

    4 publications · 3.1K citations

    4

    h-index

1–5