Quasi-Hadamard matrix | IEEE Conference Publication | IEEE Xplore

Quasi-Hadamard matrix


Abstract:

We apply the Hadamard equivalence to all the binary matrices of size m × n and study various properties of this equivalence relation and its classes. We propose to use HR...Show More

Abstract:

We apply the Hadamard equivalence to all the binary matrices of size m × n and study various properties of this equivalence relation and its classes. We propose to use HR-minimal as a representative of each equivalence class and count the number of HR-minimals of size m × n for m ≤ 3. Some properties and constructions of HR-minimals are investigated. HR-minimals with the largest weight on its second row are defined as Quasi-Hadamard matrices, which are very similar to Hadamard matrices in terms of the absolute correlations of pairs of rows, in the sense that they give a set of row vectors with “best possible orthogonality.” We report lots of exhaustive search results and open problems, one of which is equivalent to the Hadamard conjecture.
Date of Conference: 13-18 June 2010
Date Added to IEEE Xplore: 23 July 2010
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Conference Location: Austin, TX, USA

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