Hardware architectures for eigenvalue computation of real symmetric matrices

@article{Liu2009HardwareAF,
  title={Hardware architectures for eigenvalue computation of real symmetric matrices},
  author={Yang Liu and Christos-Savvas Bouganis and Peter Y. K. Cheung},
  journal={IET Computers & Digital Techniques},
  year={2009},
  volume={3},
  pages={72-84}
}
Computation of eigenvalues is essential in many applications in the fields of science and engineering. When the application of interest requires the computation of eigenvalues of high throughput or realtime performance, a hardware implementation of an eigenvalue computation block is often employed. The problem of eigenvalue computation of real symmetric matrices is focused upon. For the general case of a symmetric matrix eigenvalue problem, the approximate Jacobi method is proposed, where for… CONTINUE READING
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