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- Title
NON-SEPARABLE MATRIX BUILDERS FOR SIGNAL PROCESSING, QUANTUM INFORMATION AND MIMO APPLICATIONS.
- Authors
HURLEY, TED; HURLEY, BARRY
- Abstract
Matrices are built and designed by applying procedures from lower order matrices. Matrix tensor products, direct sums or multiplication of matrices are such procedures and a matrix built from these is said to be a separable matrix. A non-separable matrix is a matrix which is not separable and is often referred to as an entangled 'matrix. The matrices built may retain properties of the lower order matrices or may also acquire new desired properties not inherent in the constituents. Here design methods for non-separable matrices of required types are derived. These can retain properties of lower order matrices or have new desirable properties. Infinite series of required type non-separable matrices are constructible by the general methods. Non-separable matrices of required types are required for applications and other uses; they can capture the structure in a unique way and thus perform much better than separable matrices. General new methods are developed with which to construct multidimensional entangled paraunitary matrices; these have applications for wavelet and filter bank design. The constructions are used to design new systems of non-separable unitary matrices; these have applications in quantum information theory. Some consequences include the design of full diversity constellations of unitary matrices, which are used in MIMO systems, and methods to design infinite series of special types of Hadamard matrices.
- Subjects
HADAMARD matrices; QUANTUM information theory; SIGNAL processing; QUANTUM communication; MATRIX multiplications; FILTER banks; MULTIDIMENSIONAL databases
- Publication
International Journal of Group Theory, 2024, Vol 13, Issue 3, p271
- ISSN
2251-7650
- Publication type
Article
- DOI
10.22108/ijgt.2023.136437.1824