Hadamard matrices are square matrices whose entries are either +1 or -1, and they satisfy the property that their rows are orthogonal. This means that the dot product of any two distinct rows is zero, making them significant in various applications like error correction and signal processing. They are closely related to concepts like Latin squares and quasigroups, particularly in how they can be constructed and used to understand combinatorial structures.
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