Open access peer-reviewed Edited Volume

Digital Systems

Edited by Vahid Asadpour

Kaiser Permanente Southern California

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.

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Digital SystemsEdited by Vahid Asadpour

Published: November 28th 2018

DOI: 10.5772/intechopen.74915

ISBN: 978-1-78984-541-9

Print ISBN: 978-1-78984-540-2

eBook (PDF) ISBN: 978-1-83881-811-1

Copyright year: 2018

Books open for chapter submissions

9890 Total Chapter Downloads

26 Crossref Citations

14 Web of Science Citations

36 Dimensions Citations


Open access peer-reviewed

1. Fourier Transform Profilometry in LabVIEW

By Andrés G. Marrugo, Jesús Pineda, Lenny A. Romero, Raúl Vargas and Jaime Meneses


Open access peer-reviewed

2. Recent Advances in Variable Digital Filters

By Shunsuke Koshita, Masahide Abe and Masayuki Kawamata


Open access peer-reviewed

3. Electrostatic Discharge Protection and Latch-Up Design and Methodologies for ASIC Development

By Steven H. Voldman


Open access peer-reviewed

4. Design of Controller for Brushless Direct Current Motors Using FPGA

By Suneeta Harlapur


Open access peer-reviewed

5. Functional Verification of Digital Systems Using Meta-Heuristic Algorithms

By Alfonso Martínez-Cruz, Ignacio Algredo-Badillo, Alejandro Medina- Santiago, Kelsey Ramírez-Gutiérrez, Prometeo Cortés-Antonio, Ricardo Barrón-Fernández, René Cumplido-Parra and Kwang-Ting Cheng


Open access peer-reviewed

6. Efficient Deep Learning in Network Compression and Acceleration

By Shiming Ge


Open access peer-reviewed

7. Neural Network Principles and Applications

By Amer Zayegh and Nizar Al Bassam


Open access peer-reviewed

8. Applications of General Regression Neural Networks in Dynamic Systems

By Ahmad Jobran Al-Mahasneh, Sreenatha Anavatti, Matthew Garratt and Mahardhika Pratama


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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