Shift neural network time series data for tap delay
tapdelay(x,i,ts,delays) takes these arguments,
Neural network time series data
Row vector of increasing zero or positive delays
and returns the tap delay values of signal i at timestep ts given the specified tap delays.
Here a random signal x consisting of eight timesteps is defined, and a tap delay with delays of [0 1 4] is simulated at timestep 6.
x = num2cell(rand(1,8)); y = tapdelay(x,1,6,[0 1 4])