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Book Synopsis

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.

Fundamentals of Linear Algebra for Signal Processing

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    A Hardback by James Reilly

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      View other formats and editions of Fundamentals of Linear Algebra for Signal Processing by James Reilly

      Publisher: Springer
      Publication Date: 1/4/2025
      ISBN13: 9783031689147, 978-3031689147
      ISBN10: 3031689143

      Description

      Book Synopsis

      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.

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