Waveform Decomposition

Waveform Decomposition is a signal processing method that decomposes complex waveforms into constituent elementary components, typically sinusoidal or impulse-based functions, to facilitate analysis and interpretation in Fourier analysis of circuits and lidar remote sensing applications.

285

Publications

11.6K

Citations

835

Authors

375

Institutions

Publications per year

2017–2026

77

Authors

835

  1. PK
    Peter Krzystek

    Munich University of Applied Sciences, Germany

    6 publications · 470 citations

    6

    h-index

  2. DG
    D. G. Childers

    University of Florida, United States

    4 publications · 98 citations

    4

    h-index

  3. YQ
    Yuchu Qin

    Chinese Academy of Sciences, China

    4 publications · 125 citations

    4

    h-index

  4. US
    Uwe Stilla

    Technical University of Munich, Germany

    4 publications · 391 citations

    4

    h-index

  5. JR
    J. Reitberger

    Munich University of Applied Sciences, Germany

    4 publications · 391 citations

    4

    h-index

1–5 of 835

Venues

  1. IEEE Transactions on Signal Processing

    13 publications · 1.1K citations

    12

    h-index

  2. 9

    h-index

  3. Signal Processing

    6 publications · 284 citations

    6

    h-index

  4. 5

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 5 publications · 235 citations

    5

    h-index

1–5