Distortion Modeling

Distortion Modeling is a methodological framework within distortion analysis that formally characterizes the systematic deviations in signal, data, or system behavior by constructing predictive or analytical representations that distinguish between inherent properties and induced perturbations.

287

Publications

10.6K

Citations

745

Authors

381

Institutions

Publications per year

2017–2026

64

Authors

745

  1. JZ
    Jun Zhang

    Shenzhen University, China

    15 publications · 363 citations

    13

    h-index

  2. PK
    Pekka Koskela

    University of Jyväskylä, Finland

    10 publications · 541 citations

    10

    h-index

  3. JO
    Jani Onninen

    Syracuse University, United States

    7 publications · 355 citations

    7

    h-index

  4. MV
    Mihaela van der Schaar

    University of California, Los Angeles, United States

    5 publications · 225 citations

    5

    h-index

  5. ZF
    Zhenghui Feng

    Xiamen University, China

    4 publications · 103 citations

    4

    h-index

1–5 of 745

Venues

  1. 11

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 7 publications · 322 citations

    7

    h-index

  3. 6

    h-index

  4. IEEE Transactions on Multimedia

    6 publications · 287 citations

    6

    h-index

  5. IEEE Transactions on Image Processing

    6 publications · 267 citations

    6

    h-index

1–5