Fundamentals of Linear Algebra for Signal Processing
Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these fields, in a form explicitly targeted to signal processing and related disciplines. Written by an...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
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Springer Nature Switzerland : Imprint: Springer,
2025.
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| Ausgabe: | 1st ed. 2025. |
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| Online-Zugang: | https://doi.org/10.1007/978-3-031-68915-4 |
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Inhaltsangabe:
- Chapter 1. Fundamental Concepts
- Chapter 2. Eigenvalues, Eigenvectors and Correlation
- Chapter 3. The Singular Value Decomposition(SVD)
- Chapter 4. The Quadratic Form
- Chapter 5. Gaussian Elimination and Associated Numerical Issues
- Chapter 6. The QR Decomposition
- Chapter 7. Linear Least Squares Estimation
- Chapter 8. The Rank Deficient Least Squares Problem
- Chapter 9. Regularization
- Chapter 10. Toeplitz Systems.