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Hardware Implementation of Singular Value Decomposition
Abstract Singular value decomposition (SVD) is a useful decomposition technique which has important role in various engineering fields such as image compression, watermarking, signal processing, and numerous others. SVD does not involve convolution operation, which make it more suitable for hardware implementation, unlike the most popular transforms. This paper reviews the various methods of hardware implementation for SVD computation. This paper also studies the time complexity and hardware complexity in various methods of SVD computation.
Hardware Implementation of Singular Value Decomposition
Abstract Singular value decomposition (SVD) is a useful decomposition technique which has important role in various engineering fields such as image compression, watermarking, signal processing, and numerous others. SVD does not involve convolution operation, which make it more suitable for hardware implementation, unlike the most popular transforms. This paper reviews the various methods of hardware implementation for SVD computation. This paper also studies the time complexity and hardware complexity in various methods of SVD computation.
Hardware Implementation of Singular Value Decomposition
Majumder, Swanirbhar (author) / Shaw, Anil Kumar (author) / Sarkar, Subir Kumar (author)
Journal of The Institution of Engineers (India): Series B ; 97 ; 227-231
2014-12-11
5 pages
Article (Journal)
Electronic Resource
English
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