Digital Signal Processing
Principles, Algorithms, and Applications
John G. Proakis, Dimitris G. Manolakis
Résumé
- 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.
- 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.
L'auteur - John G. Proakis
John G. Proakis has been on the faculty of Northeastern
University since September of 1969. During the period
1982-1997, he held the administrative positions of Chairman
of the Department of Electrical and Computer Engineering,
Associate Dean of Research and Graduate Studies, and as
Interim Dean of the College of Engineering. He has also
served on the staffs of GTE Laboratories and the MIT
Lincoln Laboratory.
Dr. Proakis received the BSEE Degree from the University of
Cincinnati, the MSEE Degree from MIT, and the Ph.D. in
Engineering from Harvard University. His professional
experience and research interests are in the general areas
of digital communications and digital signal processing,
about which he has written extensively.
L'auteur - Dimitris G. Manolakis
Dimitris G. Manolakis is a member of the technical staff at M.I.T. Lincoln Laboratory. Previously, he was a principal member of the research staff at Riverside Research Institute. Dr. Manolakis has taught at the University of Athens, Northeastern University, Boston College, and Worchester Polytechnic Institute. He received his Ph.D. in electrical engineering from the University of Athens, Greece.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Prentice Hall |
| Auteur(s) | John G. Proakis, Dimitris G. Manolakis |
| Parution | 27/03/2002 |
| Édition | 3eme édition |
| Nb. de pages | 1016 |
| Format | 18 x 24 |
| Couverture | Relié |
| Poids | 1626g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780133737622 |
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