Digital Signal Processing Features

Digital Signal Processing Features is a systematic framework within hearing aid verification that characterizes the computational algorithms and adaptive signal manipulation techniques employed by digital hearing aids to modify auditory signals in real time according to individual hearing requirements.

126

Publications

4.5K

Citations

454

Authors

185

Institutions

Publications per year

2017–2026

33

Authors

454

  1. HL
    Harry Levitt

    City University of New York, United States

    3 publications · 113 citations

    3

    h-index

  2. AS
    Andreas Spanias

    Arizona State University, United States

    2 publications · 44 citations

    2

    h-index

  3. GR
    Gaël Richard

    Télécom Paris, France

    2 publications · 133 citations

    2

    h-index

  4. DV
    David V. Anderson

    Georgia Institute of Technology, United States

    2 publications · 43 citations

    2

    h-index

  5. SR
    Sourabh Ravindran

    Georgia Institute of Technology, United States

    2 publications · 43 citations

    2

    h-index

1–5 of 454

Venues

  1. IEEE Signal Processing Magazine

    4 publications · 130 citations

    4

    h-index

  2. The Hearing Journal

    HJ · 3 publications · 58 citations

    3

    h-index

  3. PubMed

    Repository · 3 publications · 63 citations

    3

    h-index

  4. Journal of Lightwave Technology

    2 publications · 186 citations

    2

    h-index

  5. 2

    h-index

1–5