![[1] Eigenvectors and Eigenvalues](http://s1.studyres.com/store/data/014314239_1-836177f5554eb265785889c7c5fb970f-300x300.png)
SECOND-ORDER VERSUS FOURTH
... Direction finding techniques are usually based on the 2ndorder statistics of the received data. In this paper, we propose a MUSIC-like direction finding algorithm which uses a matrix-valued statistic based on the contraction of the 4thorder cumulant tensor of the array data (4-2 MUSIC). We then deri ...
... Direction finding techniques are usually based on the 2ndorder statistics of the received data. In this paper, we propose a MUSIC-like direction finding algorithm which uses a matrix-valued statistic based on the contraction of the 4thorder cumulant tensor of the array data (4-2 MUSIC). We then deri ...
Precalculus and Advanced Topics Module 1
... students develop the 2 × 2 matrix notation for planar transformations represented by complex number arithmetic. This work sheds light on how geometry software and video games efficiently perform rigid motion calculations. Finally, the flexibility implied by 2 × 2 matrix notation allows students to s ...
... students develop the 2 × 2 matrix notation for planar transformations represented by complex number arithmetic. This work sheds light on how geometry software and video games efficiently perform rigid motion calculations. Finally, the flexibility implied by 2 × 2 matrix notation allows students to s ...
Quotient spaces defined by linear relations
... Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This document has been digitized, optimized for electronic delivery and stamped with digital signature w ...
... Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This document has been digitized, optimized for electronic delivery and stamped with digital signature w ...
Approximating sparse binary matrices in the cut
... get a cut decomposition so that the cut norm of the matrix W is at most m. How large should k be in this case ? The case of binary matrices arises naturally when considering adjacency matrices of bipartite or general graphs, and the sparse case in which m = o(n2 ) is thus interesting. The first ca ...
... get a cut decomposition so that the cut norm of the matrix W is at most m. How large should k be in this case ? The case of binary matrices arises naturally when considering adjacency matrices of bipartite or general graphs, and the sparse case in which m = o(n2 ) is thus interesting. The first ca ...
