Skip to main content

Digital Signal Processing

An Introduction with MATLAB and Applications

  • Book
  • © 2011

Overview

  • Treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production
  • Covers advanced core topics
  • Extensively shows Matlab implementations
  • With many examples
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (5 chapters)

  1. Theory and Selected Applications

  2. Applied Signal Processing

  3. Advanced Topics

Keywords

About this book

In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.

Reviews

From the reviews:

“Here is a volume of medium size devoted to digital signal processing (DSP). … A table of abbreviations helps the reader to follows the multitude of formulas and symbols. The presentation of the text is very attractive and a lot of examples make the text very user-friendly. … The 53 tutorials (exercises and problems with solutions) are a solid help to the students.  … we consider the present volume an excellent textbook and agree that it will soon become a general reference book on DSP.” (Dumitru Stanomir, Zentralblatt MATH, Vol. 1226, 2012)

Authors and Affiliations

  • , QUT, School of Engineering Systems, Brisbane, Australia

    Peter O’Shea

  • RMIT University, Melbourne, Lalor, Victoria, Australia

    Amin Z. Sadik

  • School of Electrical & Computer, Engineering, RMIT University, Melbourne, Australia

    Zahir M. Hussain

Bibliographic Information

  • Book Title: Digital Signal Processing

  • Book Subtitle: An Introduction with MATLAB and Applications

  • Authors: Peter O’Shea, Amin Z. Sadik, Zahir M. Hussain

  • DOI: https://doi.org/10.1007/978-3-642-15591-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-15590-1Published: 26 February 2011

  • Softcover ISBN: 978-3-642-43734-2Published: 21 November 2014

  • eBook ISBN: 978-3-642-15591-8Published: 17 February 2011

  • Edition Number: 1

  • Number of Pages: XXI, 350

  • Topics: Signal, Image and Speech Processing, Circuits and Systems

Publish with us