{"page":"522-536","type":"journal_article","date_updated":"2022-01-06T06:53:23Z","publication":"IEEE Trans. on Very Large Scale Integration (VLSI) Systems","doi":"10.1109/TVLSI.2013.2248069","issue":"3","user_id":"24135","citation":{"ieee":"S. Kasap and S. Redif, “Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices,” <i>IEEE Trans. on Very Large Scale Integration (VLSI) Systems</i>, vol. 22, no. 3, pp. 522–536, 2013.","ama":"Kasap S, Redif S. Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices. <i>IEEE Trans on Very Large Scale Integration (VLSI) Systems</i>. 2013;22(3):522-536. doi:<a href=\"https://doi.org/10.1109/TVLSI.2013.2248069\">10.1109/TVLSI.2013.2248069</a>","bibtex":"@article{Kasap_Redif_2013, title={Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices}, volume={22}, DOI={<a href=\"https://doi.org/10.1109/TVLSI.2013.2248069\">10.1109/TVLSI.2013.2248069</a>}, number={3}, journal={IEEE Trans. on Very Large Scale Integration (VLSI) Systems}, publisher={IEEE}, author={Kasap, Server and Redif, Soydan}, year={2013}, pages={522–536} }","mla":"Kasap, Server, and Soydan Redif. “Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices.” <i>IEEE Trans. on Very Large Scale Integration (VLSI) Systems</i>, vol. 22, no. 3, IEEE, 2013, pp. 522–36, doi:<a href=\"https://doi.org/10.1109/TVLSI.2013.2248069\">10.1109/TVLSI.2013.2248069</a>.","apa":"Kasap, S., &#38; Redif, S. (2013). Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices. <i>IEEE Trans. on Very Large Scale Integration (VLSI) Systems</i>, <i>22</i>(3), 522–536. <a href=\"https://doi.org/10.1109/TVLSI.2013.2248069\">https://doi.org/10.1109/TVLSI.2013.2248069</a>","short":"S. Kasap, S. Redif, IEEE Trans. on Very Large Scale Integration (VLSI) Systems 22 (2013) 522–536.","chicago":"Kasap, Server, and Soydan Redif. “Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices.” <i>IEEE Trans. on Very Large Scale Integration (VLSI) Systems</i> 22, no. 3 (2013): 522–36. <a href=\"https://doi.org/10.1109/TVLSI.2013.2248069\">https://doi.org/10.1109/TVLSI.2013.2248069</a>."},"date_created":"2018-03-26T15:15:03Z","_id":"1792","title":"Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices","department":[{"_id":"27"},{"_id":"78"}],"volume":22,"publisher":"IEEE","author":[{"full_name":"Kasap, Server","last_name":"Kasap","first_name":"Server"},{"last_name":"Redif","full_name":"Redif, Soydan","first_name":"Soydan"}],"status":"public","intvolume":"        22","year":"2013"}