The Walsh matrices are a special case of Hadamard matrices where the rows are rearranged so that the number of sign changes in a row is in increasing order. In short, a Hadamard matrix is defined by the recursive formula below and is naturally ordered, whereas a Walsh matrix is sequency-ordered.[1] Confusingly, different sources refer to either matrix as the Walsh matrix.
The Walsh matrix (and Walsh functions) are used in computing the Walsh transform and have applications in the efficient implementation of certain signal processing operations.
Formula
The Hadamard matrices of dimension for are given by the recursive formula (the lowest order of Hadamard matrix is 2):
We can obtain a Walsh matrix from a Hadamard matrix. For that, we first generate the Hadamard matrix for a given dimension. Then, we count the number of sign changes of each row. Finally, we re-order the rows of the matrix according to the number of sign changes in ascending order.
For example, let us assume that we have a Hadamard matrix of dimension
,
where the successive rows have 0, 3, 1, and 2 sign changes (we count the number of times we switch from a positive 1 to a negative 1, and vice versa). If we rearrange the rows in sequency ordering, we obtain:
where the successive rows have 0, 1, 2, and 3 sign changes.
Alternative forms of the Walsh matrix
Sequency ordering
The sequency ordering of the rows of the Walsh matrix can be derived from the ordering of the Hadamard matrix by first applying the bit-reversal permutation and then the Gray-codepermutation:[2]
where the successive rows have 0, 1, 2, 3, 4, 5, 6, and 7 sign changes.
Dyadic ordering
where the successive rows have 0, 1, 3, 2, 7, 6, 4, and 5 sign changes.
Natural ordering
where the successive rows have 0, 7, 3, 4, 1, 6, 2, and 5 sign changes (Hadamard matrix).
See also
Wikimedia Commons has media related to Walsh matrix.