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If not, see ## . ## ######################################################################## ## ## Original version by Paul Kienzle distributed as free software in the ## public domain. ## -*- texinfo -*- ## @deftypefn {} {} hadamard (@var{n}) ## Construct a Hadamard matrix (@nospell{Hn}) of size @var{n}-by-@var{n}. ## ## The size @var{n} must be of the form @math{2^k * p} in which p is one of ## 1, 12, 20 or 28. The returned matrix is normalized, meaning ## @w{@code{Hn(:,1) == 1}} and @w{@code{Hn(1,:) == 1}}. ## ## Some of the properties of Hadamard matrices are: ## ## @itemize @bullet ## @item ## @code{kron (Hm, Hn)} is a Hadamard matrix of size @var{m}-by-@var{n}. ## ## @item ## @code{Hn * Hn' = @var{n} * eye (@var{n})}. ## ## @item ## The rows of @nospell{Hn} are orthogonal. ## ## @item ## @code{det (@var{A}) <= abs (det (Hn))} for all @var{A} with ## @w{@code{abs (@var{A}(i, j)) <= 1}}. ## ## @item ## Multiplying any row or column by -1 and the matrix will remain a Hadamard ## matrix. ## @end itemize ## @seealso{compan, hankel, toeplitz} ## @end deftypefn ## Reference [1] contains a list of Hadamard matrices up to n=256. ## See code for h28 in hadamard.m for an example of how to extend ## this function for additional p. ## ## Reference: ## [1] A Library of Hadamard Matrices, N. J. A. Sloane ## http://www.research.att.com/~njas/hadamard/ function h = hadamard (n) if (nargin != 1) print_usage (); endif ## Find k if n = 2^k*p. k = 0; while (n > 1 && fix (n/2) == n/2) k += 1; n /= 2; endwhile ## Find base hadamard. ## Except for n=2^k, need a multiple of 4. if (n != 1) k -= 2; endif ## Trigger error if not a multiple of 4. if (k < 0) n =- 1; endif switch (n) case 1 h = 1; case 3 h = h12 (); case 5 h = h20 (); case 7 h = h28 (); otherwise error ("hadamard: N must be 2^k*p, for p = 1, 12, 20 or 28"); endswitch ## Build H(2^k*n) from kron(H(2^k),H(n)). h2 = [1,1;1,-1]; while (true) if (fix (k/2) != k/2) h = kron (h2, h); endif k = fix (k/2); if (k == 0) break; endif h2 = kron (h2, h2); endwhile endfunction function h = h12 () tu = [-1,+1,-1,+1,+1,+1,-1,-1,-1,+1,-1]; tl = [-1,-1,+1,-1,-1,-1,+1,+1,+1,-1,+1]; ## Note: assert (tu(2:end), tl(end:-1:2)). h = ones (12); h(2:end,2:end) = toeplitz (tu, tl); endfunction function h = h20 () tu = [+1,-1,-1,+1,+1,+1,+1,-1,+1,-1,+1,-1,-1,-1,-1,+1,+1,-1,-1]; tl = [+1,-1,-1,+1,+1,-1,-1,-1,-1,+1,-1,+1,-1,+1,+1,+1,+1,-1,-1]; ## Note: assert (tu(2:end), tl(end:-1:2)). h = ones (20); h(2:end,2:end) = fliplr (toeplitz (tu, tl)); endfunction function h = h28 () ## Williamson matrix construction from ## http://www.research.att.com/~njas/hadamard/had.28.will.txt ## Normalized so that each row and column starts with +1 h = [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 1 1 1 1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 -1 -1 -1 -1 1 1 -1 1 -1 1 1 1 1 1 1 -1 -1 1 -1 -1 -1 1 1 1 1 1 -1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 -1 1 -1 -1 1 1 -1 1 1 1 1 1 -1 -1 -1 1 1 1 -1 1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 1 -1 -1 -1 1 1 -1 -1 -1 1 1 1 1 1 1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 1 -1 1 1 1 -1 1 1 1 1 -1 1 -1 1 -1 1 1 -1 1 1 1 1 -1 -1 1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 1 -1 -1 1 1 1 1 -1 1 -1 -1 1 1 1 1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 1 1 1 -1 1 -1 -1 -1 -1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 1 1 -1 -1 -1 -1 1 -1 1 1 -1 -1 -1 1 1 -1 1 1 -1 -1 1 1 -1 -1 1 1 -1 -1 1 1 1 -1 -1 -1 1 1 -1 1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 1 -1 -1 -1 1 1 1 -1 -1 1 1 1 -1 -1 1 1 -1 -1 -1 -1 -1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 1 1 -1 1 -1 -1 1 1 1 -1 1 1 -1 1 -1 1 -1 1 1 -1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 1 -1 1 1 1 -1 -1 -1 -1 -1 -1 1 1 -1 1 -1 1 1 1 1 -1 -1 1 1 -1 1 -1 1 1 1 1 1 -1 -1 1 -1 1 -1 -1 -1 -1 1 -1 -1 -1 -1 1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 1 -1 1 1 1 -1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 -1 1 -1 1 1 1 1 1 -1 1 -1 -1 1 -1 1 -1 -1 1 1 -1 -1 -1 -1 1 -1 1 1 1 -1 1 -1 1 1 -1 1 -1 -1 1 1 1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 1 1 -1 -1 1 -1 1 -1 -1 -1 -1 1 1 1 -1 1 -1 1 1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 -1 -1 1 1 1 -1 -1 1 1 -1 -1 -1 1 1 -1 -1 1 1 -1 -1 -1 1 1 -1 -1 1 1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 -1 1 -1 1 1 1 -1 1 -1 -1 1 -1 -1 1 1 1 -1 1 -1 -1 1 1 -1 1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 1 1 1 1 1 -1 1 1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 1 -1 1 1 -1 -1 -1 1 -1 1 1 1 -1 1 1 1 -1 -1 1 -1 -1 1 -1 -1 -1 1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1 -1 -1 1 1 -1 1 1 -1 -1 1 1 -1 -1 -1 1 -1 -1 1 1 -1 1 1 1 -1 -1 1 1 -1 -1 1 -1]; endfunction %!assert (hadamard (1), 1) %!assert (hadamard (2), [1,1;1,-1]) %!test %! for n = [1,2,4,8,12,24,48,20,28,2^9] %! h = hadamard (n); %! assert (norm (h*h' - n*eye (n)), 0); %! endfor %!error hadamard () %!error hadamard (1,2) %!error hadamard (5)