seq2con (Neural Network Toolbox)

Converts sequential vectors to concurrent vectors

b = seq2con(s)

The neural network toolbox represents batches of vectors with a matrix, and sequences of vectors with multiple columns of a cell array.

seq2con and con2seq allow concurrent vectors to be converted to sequential vectors, and back again.

seq2con(S) takes one input,

S - N x TS cell array of matrices with M columns.

and returns,

B - N x 1 cell array of matrices with M*TS columns.

Examples

Here three sequential values are converted to concurrent values.

p1 = {1 4 2}
p2 = seq2con(p1)

Here two sequences of vectors over three time steps are converted to concurrent vectors.

p1 = {[1; 1] [5; 4] [1; 2]; [3; 9] [4; 1] [9; 8]}
p2 = seq2con(p1)