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## Description

dyadup implements a simple zero-padding scheme very useful in the wavelet reconstruction algorithm.

Y = dyadup(X,EVENODD), where X is a vector, returns an extended copy of vector X obtained by inserting zeros. Whether the zeros are inserted as even- or odd-indexed elements of Y depends on the value of positive integer EVENODD:

• If EVENODD is even, then Y(2k–1) = X(k), Y(2k) = 0.

• If EVENODD is odd, then Y(2k–1) = 0, Y(2k) = X(k).

Y = dyadup(X,EVENODD,'type') or Y = dyadup(X,'type',EVENODD), where X is a matrix, returns extended copies of X obtained by inserting

 Columns in X If 'type'= 'c' Rows in X If 'type'= 'r' Rows and columns in X If 'type'= 'm'

according to the parameter EVENODD, which is as above.

If you omit the EVENODD or 'type' arguments, dyadup defaults to EVENODD = 1 (zeros in odd-indexed positions) and 'type'= 'c' (insert columns).

## Examples

```% For a vector.
s = 1:5
s =
1 2 3 4 5

dse = dyadup(s) % Upsample elements at odd indices.
dse =
0 1 0 2 0 3 0 4 0 5 0

% or equivalently
dse =
0 1 0 2 0 3 0 4 0 5 0

dso = dyadup(s,0) % Upsample elements at even indices.
dso =
1 0 2 0 3 0 4 0 5

% For a matrix.
s = (1:2)'*(1:3)
s =
1 2 3
2 4 6

der = dyadup(s,1,'r') % Upsample rows at even indices.
der =
0 0 0
1 2 3
0 0 0
2 4 6
0 0 0

doc = dyadup(s,0,'c') % Upsample columns at odd indices.
doc =
1 0 2 0 3
2 0 4 0 6
dem = dyadup(s,1,'m') % Upsample rows and columns
% at even indices.
dem =
0     0     0     0     0     0     0
0     1     0     2     0     3     0
0     0     0     0     0     0     0
0     2     0     4     0     6     0
0     0     0     0     0     0     0

s = 1:5
s =
1 2 3 4 5