Spectral statistics of lattice graph structured, non-uniform percolations
暂无分享,去创建一个
[1] V. Girko,et al. Theory of stochastic canonical equations , 2001 .
[2] José M. F. Moura,et al. Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure , 2014, IEEE Signal Processing Magazine.
[3] José M. F. Moura,et al. Signal Recovery on Graphs: Variation Minimization , 2014, IEEE Transactions on Signal Processing.
[4] José M. F. Moura,et al. Discrete Signal Processing on Graphs: Frequency Analysis , 2013, IEEE Transactions on Signal Processing.
[5] E. Wigner. On the Distribution of the Roots of Certain Symmetric Matrices , 1958 .
[6] Soummya Kar,et al. Finite-time distributed consensus through graph filters , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[7] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[8] Tiefeng Jiang,et al. SPECTRAL DISTRIBUTIONS OF ADJACENCY AND LAPLACIAN MATRICES OF RANDOM GRAPHS , 2010, 1011.2608.
[9] Laura Cottatellucci,et al. Spectral properties of random matrices for stochastic block model , 2015, 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).
[10] Renu Chakravarti Laskar. Eigenvalues of the adjacency matrix of cubic lattice graphs. , 1969 .
[11] R. Couillet,et al. Random Matrix Methods for Wireless Communications: Estimation , 2011 .
[12] Pascal Frossard,et al. Polynomial Filtering for Fast Convergence in Distributed Consensus , 2008, IEEE Transactions on Signal Processing.
[13] José M. F. Moura,et al. Discrete Signal Processing on Graphs , 2012, IEEE Transactions on Signal Processing.