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Use of the 1-D Hadamard Transform in the Computation of a 2-D Hadamard Transform

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Hadamard Matrix Analysis and Synthesis

Abstract

Let X be an N(= 2n) × M (= 2m) dimensional data matrix and let Y be the N × M Hadamard transform matrix as

$$ \begin{gathered} X = \left( \begin{gathered} {x_{{11}}}\quad {x_{{12}}}\quad \cdots \quad {x_{{12}}} \hfill \\ {x_{{21}}}\quad {x_{{22}}}\quad \cdots \quad {x_{{12}}} \hfill \\ \;\, \vdots \quad \quad \vdots \quad \;\;\; \vdots \quad \;\; \vdots \hfill \\ {x_{{N1}}}\quad {x_{{N2}}}\;\; \cdots \quad {x_{{NM}}} \hfill \\ \end{gathered} \right) \hfill \\ \quad = ({{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{x}}}_1}\quad {{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{x}}}_2}\quad \cdots \quad {{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{x}}}_M}) \hfill \\ \end{gathered} $$
(89)

and

$$\begin{gathered} Y = \left( \begin{gathered} {y_{{11}}}\quad {y_{{12}}}\quad \cdots \quad {y_{{12}}} \hfill \\ {y_{{21}}}\quad {y_{{22}}}\quad \cdots \quad {y_{{12}}} \hfill \\ \;\, \vdots \quad \quad \vdots \quad \;\;\; \vdots \quad \;\; \vdots \hfill \\ {y_{{N1}}}\quad {y_{{N2}}}\;\; \cdots \quad {y_{{NM}}} \hfill \\ \end{gathered} \right) \hfill \\ \quad = ({{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{y}}}_1}\quad {{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{y}}}_2}\quad \cdots \quad {{{\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{y}}}_M}) \hfill \\ \end{gathered} $$
(90)

where {x i } and {y i } are N-dimensional column vectors. The 2-D Hadamard transform is given by

$$ Y = {H_n}X\,{H_m} $$
(91)

where H n and H m are 2n × 2n and 2m × 2m Hadamard matrices. Since n may not necessarily be equal to m, we will use superscripts (n) and (m) to denote the columns h i (n) and h i (m) in H n and H m respectively.

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© 1997 Springer Science+Business Media New York

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Yarlagadda, R.K.R., Hershey, J.E. (1997). Use of the 1-D Hadamard Transform in the Computation of a 2-D Hadamard Transform. In: Hadamard Matrix Analysis and Synthesis. The Springer International Series in Engineering and Computer Science, vol 383. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6313-6_8

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  • DOI: https://doi.org/10.1007/978-1-4615-6313-6_8

  • Publisher Name: Springer, Boston, MA

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