Introduction to Spectral AnalysisDescription |
Appropriate for a first course on Spectral Analysis at the graduate or advanced undergraduate level. This text presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it covers both classical and modern approaches of spectral analysis. Topics covered include nonparametric spectrum analysis (both periodogram- based approaches and filter-bank approaches), parametric spectral analysis using rational spectral models (AR, MA, and ARMA models), parametric method for line spectra, and spatial (array) signal processing. Analytical and Matlab-based computer exercises are included to develop both analytical skills and hands-on experience.  |
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Features |
- Offers a self-contained, concise presentation that gets to main points quickly without unnecessary digressions. Pg.___
- Provides both analytical and MATLAB-based computer exercises to give readers a first-hand understanding of the properties, implementation and performances of various spectral analysis methods. Pg.___
- Unique coverage of filter bank methods (Chap. 5). Pg.___
- Guides readers through a thorough presentation of modern methods-including subspace-based methods for parametric spectral estimation and array signal processing-and filter bank approaches to nonparametric methods. Pg.___
- Contains one or more Complements sections in each chapter that extend issues taken from the main text, presenting novel, advanced methodologies and results. Pg.___
- Offers an appendix containing all required results from linear algebra and matrix analysis. Pg.___
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Table of Contents |
1. Basic Concepts.
2. Nonparametric Methods.
3. Parametric Methods for Rational Spectra.
4. Parametric Methods for Line Spectra.
5. Filter Bank Methods.
6. Spatial Methods.
Appendix A: Linear Algebra and Matrix Analysis Tools.
Appendix B: Cramér-Rao Bound Tools.
Bibliography.
References Grouped by Subject.
Subject Index.
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