 1) time series and returns a vector time series of dimension</span>
0005 <span class="comment">%   ((M - lag_samples*(dimension-1)) x dimension) time series by lag</span>
0006 <span class="comment">%   embedding the time series.  E.g.,</span>
0007 <span class="comment">%             embed([x(1); x(2); x(3); ... ; x(N)], 1, 3)</span>
0008 <span class="comment">%   returns</span>
0009 <span class="comment">%             [x(1), x(2), x(3); x(2), x(3), x(4); ... ; x(N-1), x(N)]</span>
0010 <span class="comment