Hadamard matrix
In mathematics, a Hadamard matrix is a square matrix whose entries are either +1 or −1 and whose rows are mutually orthogonal. This means that every two different rows in a Hadamard matrix represent two perpendicular vectors. Such matrices are used in error-correcting codes such as the Reed-Muller code. Hadamard matrices are also used in balanced repeated replication (BRR), which is a method used by statisticians to estimate the variance of a parameter estimator. They are named after the French mathematician Jacques Hadamard.
Related Topics:
Mathematics - Square matrix - Orthogonal - Perpendicular - Vector - Error-correcting code - Reed-Muller code - Variance - Parameter - Estimator - Mathematician - Jacques Hadamard
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~ Table of Content ~
| ► | Introduction |
| ► | Properties |
| ► | Sylvester's construction |
| ► | The Hadamard conjecture |
| ► | Generalizations and special cases |
| ► | References |
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