Bandelet Union Optimal Matrix Norms Constructing Lossless Watermarking

Author(s):  
Yue-Xiang Yang ◽  
Li-Zhi Cheng ◽  
Yong Luo ◽  
Rui Wang
2021 ◽  
Vol 88 (1) ◽  
Author(s):  
Antoine Gautier ◽  
Matthias Hein ◽  
Francesco Tudisco

AbstractWe analyze the global convergence of the power iterates for the computation of a general mixed-subordinate matrix norm. We prove a new global convergence theorem for a class of entrywise nonnegative matrices that generalizes and improves a well-known results for mixed-subordinate $$\ell ^p$$ ℓ p matrix norms. In particular, exploiting the Birkoff–Hopf contraction ratio of nonnegative matrices, we obtain novel and explicit global convergence guarantees for a range of matrix norms whose computation has been recently proven to be NP-hard in the general case, including the case of mixed-subordinate norms induced by the vector norms made by the sum of different $$\ell ^p$$ ℓ p -norms of subsets of entries.


1983 ◽  
Vol 14 (4) ◽  
pp. 357-363
Author(s):  
Massoud Malek-Shahmirzadi ◽  
Kunio Oshima
Keyword(s):  

1987 ◽  
Vol 35 (1) ◽  
pp. 49-57
Author(s):  
Choon Peng Tan

Lower bounds for the tau coefficients and operator norms are derived by using composite matrix norms. For a special class of matrices B, our bounds on ‖B‖p (the operator norm of B induced by the ℓp norm) improve upon a general class of Maitre (1967) bounds for p ≥ 2.


2019 ◽  
Vol 157 ◽  
pp. 108-118 ◽  
Author(s):  
Zhiqiu Xia ◽  
Xingyuan Wang ◽  
Wenjie Zhou ◽  
Rui Li ◽  
Chunpeng Wang ◽  
...  

1976 ◽  
Vol 27 (4) ◽  
pp. 391-394 ◽  
Author(s):  
Charles R. Johnson

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