Spectral Analysis

Spectral Analysis is a mathematical and computational technique within signal processing that identifies the distribution of a signal's energy or power across its constituent frequencies, distinguishing it from related analytical methods by its focus on frequency-domain representation rather than time-domain behavior.

20.2K

Publications

1.2M

Citations

34.3K

Authors

5.8K

Institutions

Publications per year

2017–2026

3.7K

Authors

34.3K

  1. BS
    Barry Simon

    California Institute of Technology, United States

    41 publications · 4.3K citations

    33

    h-index

  2. PS
    Petre Stoica

    Uppsala University, Sweden

    51 publications · 3.4K citations

    30

    h-index

  3. FN
    Feiping Nie

    Northwestern Polytechnical University, China

    27 publications · 2.4K citations

    26

    h-index

  4. PF
    Patrick Flandrin

    École Normale Supérieure de Lyon, France

    34 publications · 11.2K citations

    25

    h-index

  5. AP
    Antonio Plaza

    Universidad de Extremadura, Spain

    33 publications · 2.8K citations

    24

    h-index

1–5 of 34.3K

Venues

  1. IEEE Transactions on Signal Processing

    596 publications · 59.9K citations

    114

    h-index

  2. 69

    h-index

  3. IEEE Transactions on Instrumentation and Measurement

    308 publications · 16.3K citations

    67

    h-index

  4. Linear Algebra and its Applications

    435 publications · 18.4K citations

    65

    h-index

  5. IEEE Transactions on Geoscience and Remote Sensing

    152 publications · 16.2K citations

    57

    h-index

1–5