Gaussian Filters

Gaussian Filters is a type of analog filter characterized by its impulse response being proportional to a Gaussian function, which distinguishes it from other analog filters by providing minimal time-domain distortion and maximally flat group delay.

791

Publications

39.9K

Citations

2.4K

Authors

950

Institutions

Publications per year

2017–2026

250

Variants

Gaussian Filter

Authors

2.4K

  1. UD
    Uwe D. Hanebeck

    Karlsruhe Institute of Technology, Germany

    9 publications · 445 citations

    9

    h-index

  2. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    6 publications · 342 citations

    6

    h-index

  3. PM
    Petar M. Djurić

    Stony Brook University, United States

    6 publications · 620 citations

    6

    h-index

  4. SK
    Sei‐ichiro Kamata

    Waseda University, Japan

    6 publications · 152 citations

    6

    h-index

  5. YZ
    Yonggang Zhang

    Harbin Engineering University, China

    5 publications · 142 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. IEEE Transactions on Signal Processing

    13 publications · 1.6K citations

    13

    h-index

  2. 12

    h-index

  3. IEEE Transactions on Image Processing

    12 publications · 488 citations

    12

    h-index

  4. 10

    h-index

  5. 9

    h-index

1–5