Power Spectral Analysis

Power Spectral Analysis is a signal processing technique that belongs to the class of frequency-domain analysis methods, distinguished by its application to decompose the power of a stochastic signal into its constituent frequency components, thereby enabling the quantification and characterization of ion channel noise in electrophysiological recordings.

2.9K

Publications

190.4K

Citations

10K

Authors

2.6K

Institutions

Publications per year

2017–2026

537

Authors

10K

  1. MK
    Masayoshi Kuwahara

    The University of Tokyo, Japan

    13 publications · 752 citations

    13

    h-index

  2. HT
    Hirokazu Tsubone

    The University of Tokyo, Japan

    11 publications · 705 citations

    11

    h-index

  3. SH
    Samuel H.H. Chan

    National Sun Yat-sen University, Taiwan

    11 publications · 488 citations

    10

    h-index

  4. SC
    S. Cerutti

    Politecnico di Milano, Italy

    9 publications · 575 citations

    9

    h-index

  5. TB
    Terry B. J. Kuo

    National Yang Ming Chiao Tung University, Taiwan

    8 publications · 496 citations

    8

    h-index

1–5 of 10K

Venues

  1. SLEEP

    47 publications · 2.8K citations

    30

    h-index

  2. PubMed

    Repository · 80 publications · 3.7K citations

    30

    h-index

  3. IEEE Transactions on Signal Processing

    37 publications · 2.6K citations

    27

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 44 publications · 3.2K citations

    27

    h-index

  5. 25

    h-index

1–5