Performs the deinterleaving process with delays that you specify for each branch.
A convolutional deinterleaver is the inverse of a convolutional interleaver. In convolutional deinterleaving, data elements pass cyclically through a set of branches. That is, in an N branch convolutional deinterleaver, the element 0 goes through branch 0, element 1 goes through branch 1, element N-1 goes through branch N-1, element N goes through branch 0, and so on. Each branch has different delays associated with it. Hence the data sent to each deinterleaver branch is delayed by a specific amount (the amount of delay in that particular branch) before the deinterleaver returns the data. In a convolutional interleaver, if the delay in branch number n is dn, maximum delay is max_delay and the minimum delay is min_delay, then for the corresponding convolutional deinterleaver, the delay in branch number n is: Dn = (max_delay+min_delay)-dn.
The input data to the deinterleaver.
The number of delays individually for each branch of the corresponding interleaver. The number of elements in this array determines the number of branches, and the value of each element denotes the delay for that branch. For example, if interleaver delays is [3,6,9,2], it implies that there are four branches; branch 0 has 3 delays, branch 1 has 6 delays, and so on.
You must specify a value for this parameter.
The shift register values when the convolutional deinterleaver begins operation.
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Default: no error
A Boolean that determines whether to check the current input parameters. The current input parameters are always checked on the first run of this node.
||Checks input parameters.
||Does not check input parameters.
The output of the convolutional deinterleaver.