Singular value decomposition using iterative optical processors
โ Scribed by Vijaya Kumar, B. V. K.
- Book ID
- 115331286
- Publisher
- The Optical Society
- Year
- 1983
- Tongue
- English
- Weight
- 516 KB
- Volume
- 22
- Category
- Article
- ISSN
- 1559-128X
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๐ SIMILAR VOLUMES
One of the most frequently used operations in singular value decomposition (SVD) is the two-sided rotation transformation on \(2 \times 2\) matrices. In order to achieve high performances for CORDIC SVD processors, a new method of carrying out the two-sided rotation transformation on \(2 \times 2\)
Singular value decomposition (SVD) is used in many applications such as real-time signal processing where fast computation of these problems is needed. In this paper, parallel algorithms for solving the singular value decomposition problem are discussed. The algorithms are designed for optically int