Symmetric Pseudo-Random Matrices
Journal articles
Soloveychik, I; Xiang, Y; Tarokh, V
Published in: IEEE Transactions on Information Theory
April 1, 2018
We consider the problem of generating symmetric pseudo-random sign (±1) matrices based on the similarity of their spectra to Wigner's semicircular law. Using binary m-sequences (Golomb sequences) of lengths n=2m-1 , we give a simple explicit construction of circulant n × n sign matrices and show that their spectra converge to the semicircular law when n grows. The Kolmogorov complexity of the proposed matrices equals to that of Golomb sequences and is at most 2log
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Published In
IEEE Transactions on Information Theory
DOI
ISSN
0018-9448
Publication Date
April 1, 2018
Volume
64
Issue
4
Start / End Page
3179 / 3196
Related Subject Headings
- Networking & Telecommunications
- 4613 Theory of computation
- 4006 Communications engineering
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Soloveychik, I., Xiang, Y., & Tarokh, V. (2018). Symmetric Pseudo-Random Matrices. IEEE Transactions on Information Theory, 64(4), 3179–3196. https://doi.org/10.1109/TIT.2018.2800004
Soloveychik, I., Y. Xiang, and V. Tarokh. “Symmetric Pseudo-Random Matrices.” IEEE Transactions on Information Theory 64, no. 4 (April 1, 2018): 3179–96. https://doi.org/10.1109/TIT.2018.2800004.
Soloveychik I, Xiang Y, Tarokh V. Symmetric Pseudo-Random Matrices. IEEE Transactions on Information Theory. 2018 Apr 1;64(4):3179–96.
Soloveychik, I., et al. “Symmetric Pseudo-Random Matrices.” IEEE Transactions on Information Theory, vol. 64, no. 4, Apr. 2018, pp. 3179–96. Scopus, doi:10.1109/TIT.2018.2800004.
Soloveychik I, Xiang Y, Tarokh V. Symmetric Pseudo-Random Matrices. IEEE Transactions on Information Theory. 2018 Apr 1;64(4):3179–3196.
Published In
IEEE Transactions on Information Theory
DOI
ISSN
0018-9448
Publication Date
April 1, 2018
Volume
64
Issue
4
Start / End Page
3179 / 3196
Related Subject Headings
- Networking & Telecommunications
- 4613 Theory of computation
- 4006 Communications engineering