Digital Signal Processing: Principles, Algorithms and Applications / Edition 3 available in Hardcover
- Pub. Date:
- Prentice Hall Professional Technical Reference
- NEWreorganizes coverage of DFT and FFT algorithm for greater claritynow 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.
|Publisher:||Prentice Hall Professional Technical Reference|
|Edition description:||Older Edition|
|Product dimensions:||7.20(w) x 9.20(h) x 1.62(d)|
Table of Contents1. 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