Engineering

• reorganizes coverage of DFT and FFT algorithm for greater clarity—now introduces the DFT and describes its efficient computation immediately following the treatment of Fourier analysis.

• describes the operations and techniques involved in the analog-to-digital conversion of analog signals.

• studies the characterization 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.

• analyzes signals and systems in the frequency domain, and presents Fourier series and Fourier transform in both continuous-time and discrete-time signals.

• treats the realization of IIR and FIR systems, including direct-form, cascade, parallel, lattice and lattice-ladder realizations.

• 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.

• includes many examples throughout the book and approximatley 500 homework problems.

 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. The Discrete Fourier Transform: Its Properties and Applications.


 6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.


 7. Implementation of Discrete-Time Systems.


 8. Design of Digital Filters.


 9. Sampling and Reconstruction of Signals.


10. Multirate Digital Signal Processing.


11. Linear Prediction and Optimum Linear Filters.


12. Power Spectrum Estimation.


Appendix A. Random Signals, Correlation Functions, and Power Spectra.


Appendix B. Random Numbers Generators.


Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.


Appendix D. List of MATLAB Functions.


References and Bibliography.


Index.

Digital Signal Processing  [CORE TEXTS]   (Electrical & Computing Engineering)

• 
  Digital Signal Processing, 4/E
  Proakis & Manolakis
  ©2007 | Prentice Hall | Paper; 1004 pp | Out of Stock
  ISBN-10: 0131873741 | ISBN-13: 9780131873742
  Suggested retail price: $160.00  Net price: $120.00  (What's this?)Brief Description

  

  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.

   

   

Giving the reader a sound balance of theory and practical application, this no-nonsense book presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications. Covering both time-domain and frequency- domain methods for the analysis of linear, discrete-time systems, the book offers cutting-edge coverage on such topics as sampling, digital filter design, filter realizations, deconvolution, interpolation, decimation, state-space methods, spectrum analysis, and more. Rigorous and challenging, it furthers the understanding with numerous examples, exercises, and experiments emphasizing software implementation of digital signal processing algorithms integrated throughout.

FEATURES:

• NEW—reorganizes coverage of DFT and FFT algorithm for greater clarity—now introduces the DFT and describes its efficient computation immediately following the treatment of Fourier analysis.
• Describes the operations and techniques involved in the analog-to-digital conversion of analog signals.
• Studies the characterization 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.
• Analyzes signals and systems in the frequency domain, and presents Fourier series and Fourier transform in both continuous-time and discrete-time signals.
• Treats the realization of IIR and FIR systems, including direct-form, cascade, parallel, lattice and lattice-ladder realizations.
• 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.
• Includes many examples throughout the book and with approximately 500 workable problems.

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.