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Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
book

Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

by John J. Shynk
November 2012
Intermediate to advanced
794 pages
22h 9m
English
Wiley-Interscience
Content preview from Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

G.6 KRONECKER AND SCHUR PRODUCTS

Definition: Kronecker Product The Kronecker product of matrices and is a size block matrix:

(G.50) Numbered Display Equation

where the upper-left block is

(G.51) Numbered Display Equation

and likewise for the other blocks.

Although the Kronecker product is associative, it is not commutative: . Note also that A and B can be vectors: if is a column vector and is a row vector, then is a matrix. For this case, the Kronecker product reduces to the standard vector outer product abT.

Definition: Schur Product For matrices and , the Schur product is obtained by a multiplication of their entries element-wise:

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Publisher Resources

ISBN: 9781118393956Purchase book