Spectral Smoothing

Spectral Smoothing is a signal processing technique used in spectral data analysis that reduces random noise in spectral measurements by applying a mathematical filter to enhance spectral continuity while preserving underlying spectral features.

175

Publications

13.2K

Citations

422

Authors

217

Institutions

Publications per year

2017–2026

28

Authors

422

  1. SS
    S. Shahnawazuddin

    National Institute of Technology Patna, India

    4 publications · 83 citations

    4

    h-index

  2. GP
    Gayadhar Pradhan

    National Institute of Technology Patna, India

    4 publications · 83 citations

    4

    h-index

  3. RS
    Rohit Sinha

    Indian Institute of Technology Guwahati, India

    3 publications · 87 citations

    3

    h-index

  4. SM
    Shigeo Minami

    The University of Osaka, Japan

    3 publications · 87 citations

    3

    h-index

  5. IC
    Ishwar Chandra Yadav

    Central University of South Bihar, India

    3 publications · 66 citations

    3

    h-index

1–5 of 422

Venues

  1. Applied Spectroscopy

    15 publications · 482 citations

    13

    h-index

  2. IEEE Transactions on Signal Processing

    7 publications · 287 citations

    7

    h-index

  3. 5

    h-index

  4. The Journal of the Acoustical Society of America

    JASA · 4 publications · 209 citations

    4

    h-index

  5. Journal of Raman Spectroscopy

    JRS · 4 publications · 196 citations

    4

    h-index

1–5