Table Of Contents

MT Convolutional Interleave (MT Convolutional Interleaver (Generic)) (G Dataflow)

Version:
    Last Modified: February 7, 2018

    Performs the interleaving process with delays that you specify for each branch.

    Each branch has different delays associated with it. Hence, the data input of each interleaver branch is delayed by a specific amount (the amount of delay in that branch) before the interleaver returns the data. A convolutional interleaver is twice as efficient as a block interleaver.

    connector_pane_image
    datatype_icon

    data in

    The input data to the interleaver.

    datatype_icon

    interleaver delays

    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.

    spd-note-note
    Note  

    You must specify a value for this parameter.

    datatype_icon

    initial state

    The shift register values when the convolutional interleaver begins operation.

    datatype_icon

    error in

    Error conditions that occur before this node runs.

    The node responds to this input according to standard error behavior.

    Standard Error Behavior

    Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

    error in does not contain an error error in contains an error
    If no error occurred before the node runs, the node begins execution normally.

    If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

    If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

    Default: No error

    datatype_icon

    reset?

    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.

    TRUE Checks input parameters.
    FALSE Does not check input parameters.

    Default: TRUE

    datatype_icon

    data out

    The convolutional interleaved data returned by this node.

    datatype_icon

    error out

    Error information.

    The node produces this output according to standard error behavior.

    Standard Error Behavior

    Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

    error in does not contain an error error in contains an error
    If no error occurred before the node runs, the node begins execution normally.

    If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

    If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

    Examples of Convolutional Interleaving and Deinterleaving

    The following example demonstrates convolutional interleaving and deinterleaving. Let the data in be: x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11, x12, x13, …

    Interleaver Input Interleaver Output

    D = unit delay in the path.

    Assume for this example that the unit delay = 1, and the initial state shift registers are initialized with values of 0 for both the interleaver and the deinterleaver.

    Interleaved Data: x0, 0, 0, 0, x4, x1, 0, 0, x8, x5, x2, 0, x12, x9, …

    Deinterleaver Input Deinterleaver Output

    Deinterleaved Data: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, …

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: Not supported

    Web Server: Not supported in VIs that run in a web application


    Recently Viewed Topics