Signal Refinement

Signal Refinement is a signal processing technique that distinguishes itself within the broader class of signal detection methods by systematically enhancing the detectability or interpretability of a target signal through the reduction of noise, distortion, or irrelevant components while preserving or accentuating its critical features.

6

Publications

232

Citations

32

Authors

30

Institutions

Publications per year

2017–2026

1

Authors

32

  1. AP
    Andrew P. Kurmis

    Flinders University, Australia

    1 publications · 10 citations

    1

    h-index

  2. JH
    Jerry H. Gurwitz

    University of Massachusetts Chan Medical School, United States

    1 publications · 16 citations

    1

    h-index

  3. KG
    Kenneth G. Saag

    University of Alabama at Birmingham, United States

    1 publications · 16 citations

    1

    h-index

  4. DL
    David L. McClure

    Kaiser Permanente, United States

    1 publications · 12 citations

    1

    h-index

  5. MS
    Miriam Sturkenboom

    Erasmus MC, Netherlands

    1 publications · 16 citations

    1

    h-index

1–5 of 32

Venues

  1. Pharmacoepidemiology and Drug Safety

    2 publications · 28 citations

    2

    h-index

  2. PubMed

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 115 citations

    1

    h-index

  4. Interspeech 2022

    Conference · 1 publications · 22 citations

    1

    h-index

  5. Procedia Structural Integrity

    1 publications · 13 citations

1–5