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Every Normal Toeplitz Matrix is Either of Type I or of Type II.
Takashi Ito
Published in:
SIAM J. Matrix Anal. Appl. (1996)
Keyphrases
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type ii
type i error
systems of linear equations
least squares
neyman pearson
linear algebra
positive definite
covariance matrix
singular value decomposition
matrix representation
coefficient matrix
neural network
super resolution
correlation matrix