A computational scheme based on the singular value decomposition (SVD) for a deterministic, data domain approach to the adaptive processing problem is presented. In the direct data domain approach, a single snapshot is considered for an assumed direction of arrival with unknown amplitude. This unkno
Index Calculus for Approximation Methods and Singular Value Decomposition
✍ Scribed by Steffen Roch; Bernd Silbermann
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 283 KB
- Volume
- 225
- Category
- Article
- ISSN
- 0022-247X
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✦ Synopsis
Moore᎐Penrose and Fredholm sequences, which correspond in a sense to normally solvable and Fredholm operators, respectively. For Moore᎐Penrose sequences, we derive a certain qualitative behavior of the singular values of the approximation operators A , and we describe this behavior quantitatively for Fredholm sequences n by defining the ␣-number and the index of an approximation method. ᮊ 1998
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