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    Window Functions and Their Applications in Signal Processing

    Proposal review

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    Author(s)
    Prabhu, K. M. M.
    Language
    English
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    Abstract
    Window functions—otherwise known as weighting functions, tapering functions, or apodization functions—are mathematical functions that are zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their Applications in Signal Processing presents an exhaustive and detailed account of window functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively reviewing previous research and recent developments, this book: Provides suggestions on how to choose a window function for particular applications Discusses Fourier analysis techniques and pitfalls in the computation of the DFT Introduces window functions in the continuous-time and discrete-time domains Considers two implementation strategies of window functions in the time- and frequency domain Explores well-known applications of window functions in the fields of radar, sonar, biomedical signal analysis, audio processing, and synthetic aperture radar
    URI
    https://library.oapen.org/handle/20.500.12657/41686
    Keywords
    Computer Engineering; Digital and Wireless Communication; Digital Signal Processing; ENG; ElectricalEngineering; SCI-TECH; COMPUTERSCIENCE; INFORMATIONSCIENCE; STM; digital filtering; digital signal processing; radar; Short Time Fourier Transform; spectral analysis; speech processing; window functions
    DOI
    10.1201/9781315216386
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2014
    Imprint
    CRC Press
    Classification
    Computer science
    Electrical engineering
    Mobile phone technology
    Pages
    404
    Rights
    http://creativecommons.org/licenses/by-nc-nd/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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