Discrete-time Signal Processing

Discrete-Time Signal Processing is a subfield of signal processing that deals with the manipulation and analysis of discrete-time signals, which are sequences of values obtained by sampling continuous-time signals at discrete intervals, distinguishing it from continuous-time signal processing by its reliance on discrete temporal representations and digital computation methods.

331

Publications

20.8K

Citations

645

Authors

323

Institutions

Publications per year

2017–2026

32

Variants

Dtsp

Authors

645

  1. PP
    P. P. Vaidyanathan

    California Institute of Technology, United States

    6 publications · 234 citations

    6

    h-index

  2. KK
    Keshab K. Parhi

    University of Minnesota, United States

    5 publications · 116 citations

    5

    h-index

  3. VD
    Victor DeBrunner

    University of Oklahoma, United States

    4 publications · 153 citations

    4

    h-index

  4. WJ
    William J. Williams

    University of Michigan, United States

    4 publications · 217 citations

    4

    h-index

  5. TP
    T.W. Parks

    Cornell University, United States

    4 publications · 265 citations

    4

    h-index

1–5 of 645

Venues

  1. IEEE Transactions on Signal Processing

    61 publications · 6.7K citations

    30

    h-index

  2. 13

    h-index

  3. IEEE Transactions on Automatic Control

    8 publications · 179 citations

    8

    h-index

  4. IEEE Transactions on Information Theory

    7 publications · 2.2K citations

    7

    h-index

  5. Signal Processing

    7 publications · 127 citations

    7

    h-index

1–5