Computational Strategies for the Generation of Equivalence Classes of Hadamard Matrixes
نویسنده
چکیده
Hadamard matrices are useful in Hadamard transform spectroscopy and in the construction of optimal chemical designs.'-8 The use of these matrices in spectroscopy has led to the advent of Hadamard transform spectroscopy3 which employs spectroscopic multiplexing techniques and is a powerful tool for the analysis of complex spectra. Besides Hadamard matrices are useful in chemical designs and block designs. An optimal design is a method of accurately weighing a number of objects in groups rather than individually. This leads to an orthogonal set of equations that can be described by Hadamard matrices as illustrated in ref 3. The optimal weighing scheme finds applications both in chemical balance and in the multiplexing techniques pertinent to spectroscopy. These matrices also find applications in multisite Hadamard transform NMR spectroscopy.' We believe that these matrices would be potentially useful in stereochemistry. These matrices also find numerous other applications in disciplines such as computer science (errorcorrecting code), graph designs, tournaments, orthogonal arrays, projective planes, group theory, terminal networks, circuit theory, and coding theory. A n x n Hadamard matrix, H, is defined as a square matrix composed of 1's and -1's such that
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ورودعنوان ژورنال:
- Journal of Chemical Information and Computer Sciences
دوره 35 شماره
صفحات -
تاریخ انتشار 1995