Digital Signal Processing, Pearson New International Edition (4e) : 9781292025735

Digital Signal Processing, Pearson New International Edition (4e)

Proakis & Manolakis
Published by
Pearson Higher Ed USA
Available on demand
Title type
Title type

A significant revision of a best-selling text for the introductory digital signal processing course.

This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

Table of contents
  • 1 Introduction
  • 2 Discrete-Time Signals And Systems
  • 3 The Z-Transform And Its Application To The Analysis Of Lti Systems
  • 4 Frequency Analysis Of Signals And Systems
  • 5 Frequency Domain Analysis Of Lti Systems
  • 6 Sampling And Reconstruction Of Signals
  • 7 The Discrete Fourier Transform: Its Properties And Applications
  • 8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms
  • 9 Implementation Of Discrete-Time Systems
  • 10 Design Of Digital Filers
  • 11 Multirate Digital Signal Processing
  • 12 Linear Prediction And Optimum Linear Filters
  • 13 Adaptive Filters
  • Appendices
  • Appendix A Random Number Generators
  • Appendix B Tables of Transition Coefficients for the Design of Linear-Phase Filters
  • References and Bibliography
  • Index
Features & benefits
  • A balanced coverage is provided of both theory and practical applications.  
  • Includes many examples throughout the book and approximately 500 homework problems.
  • Describes the operations and techniques involved in the analog-to-digital conversion of analog signals.
  • Studies the characterisation and analysis of linear time-invariant discrete-time systems and discrete- time signals in the time domain.
  • Considers both the bilateral and the unilateral z-transform, and describes methods for determining the inverse z-transform.
  • Analyses signals and systems in the frequency domain, and presents Fourier series and Fourier transform in both continuous-time and discrete-time signals.
  • Treats the realisation of IIR and FIR systems, including direct-form, cascade, parallel, lattice and lattice-ladder realisations.
  • Looks at the basics of sampling rate conversion and presents systems for implementing multirate conversion.
  • Offers a detailed examination of power spectrum estimation, with discussions on nonparametric and model-based methods, as well as eigen-decomposition- based methods, including MUSIC and ESPRIT.