In applied mathematics, the transfer matrix is a formulation in terms of a block-Toeplitz matrix of the two-scale equation, which characterizes refinable functions. Refinable functions play an important role in wavelet theory and finite element theory. For the mask h {\displaystyle h} , which is a vector with component indexes from a {\displaystyle a} to b {\displaystyle b} , the transfer matrix of h {\displaystyle h} , we call it T h {\displaystyle T_{h}} here, is defined as
( T h ) j , k = h 2 ⋅ j − k . {\displaystyle (T_{h})_{j,k}=h_{2\cdot j-k}.}
More verbosely
T h = ( h a h a + 2 h a + 1 h a h a + 4 h a + 3 h a + 2 h a + 1 h a ⋱ ⋱ ⋱ ⋱ ⋱ ⋱ h b h b − 1 h b − 2 h b − 3 h b − 4 h b h b − 1 h b − 2 h b ) . {\displaystyle T_{h}={\begin{pmatrix}h_{a}&&&&&\\h_{a+2}&h_{a+1}&h_{a}&&&\\h_{a+4}&h_{a+3}&h_{a+2}&h_{a+1}&h_{a}&\\\ddots &\ddots &\ddots &\ddots &\ddots &\ddots \\&h_{b}&h_{b-1}&h_{b-2}&h_{b-3}&h_{b-4}\\&&&h_{b}&h_{b-1}&h_{b-2}\\&&&&&h_{b}\end{pmatrix}}.}
The effect of T h {\displaystyle T_{h}} can be expressed in terms of the downsampling operator " ↓ {\displaystyle \downarrow } ":
T h ⋅ x = ( h ∗ x ) ↓ 2. {\displaystyle T_{h}\cdot x=(h*x)\downarrow 2.}
Properties
See also Hurwitz determinant
… excerpt ends here. Continue reading the full article.
