Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 (Autor:in) / Shaw, Anil Kumar (Autor:in) / Sarkar, Subir Kumar (Autor:in)
Journal of The Institution of Engineers (India): Series B ; 97 ; 227-231
11.12.2014
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimum laminate design by using singular value decomposition
| British Library Online Contents | 2013
Woven fabric defect detection using singular value decomposition
| British Library Online Contents | 2014
Multisite Multiseason Streamflow Simulation Using Singular Value Decomposition Approach
| British Library Conference Proceedings | 1995
Calibration of River Bed Roughness using Singular Value Decomposition
| British Library Conference Proceedings | 1993