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    Digital Systems

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    https://www.intechopen.com/books/digital-systems
    Author(s)
    Vahid Asadpour
    Language
    English
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    Abstract
    This book provides an approach toward the applications and principle theory of digital signal processing in modern intelligent systems, biological engineering, telecommunication, and information technology. Assuming the reader already has prior knowledge of signal processing theory, this book will be useful for finding novel methods that fit special needs in digital signal processing (DSP). The combination of signal processing and intelligent systems in hybrid structures rather than serial or parallel processing provide the best mechanism that is a better fit with the comprehensive nature of human. This book is a practical reference that places the emphasis on principles and applications of DSP in digital systems. It covers a broad area of digital systems and applications of machine learning methods including convolutional neural networks, evolutionary algorithms, adaptive filters, spectral estimation, data compression and functional verification. The level of the book is ideal for professional DSP users and useful for graduate students who are looking for solutions to their design problems. The theoretical principles provide the required base for comprehension of the methods and application of modifications for the special needs of practical projects.
    URI
    https://directory.doabooks.org/handle/20.500.12854/45145
    Keywords
    Physical Sciences; Engineering and Technology; Neural Network; Computer and Information Science; Numerical Analysis and Scientific Computing
    DOI
    10.5772/intechopen.74915
    ISBN
    9781789845402, 9781789845419
    Publisher
    IntechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2018
    Pages
    164
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    • logo Investir l'avenirInvestir l'avenir
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    • logo EUEuropean Union
      This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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