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MT Convolutional Encode (MT Convolutional Encoder (Generator Matrix)) (G Dataflow)

Version:
    Last Modified: February 7, 2018

    Generates an encoded bit stream based on a generator matrix that you set.

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    input bit stream

    Bit sequence representing the data bits to encode. Use the bits generated by MT Generate Bits to produce this bit stream or wire a custom data bit stream to this parameter.

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    generator matrix

    The generator connection polynomial matrix that sets the convolutional feedforward node connections in octal format.

    The convolutional node is modeled as a linear feedforward shift register arrangement consisting of k rows with K-1 shift registers per row, where k denotes the data word length and K denotes the constraint length. If a ij {0 ≤ in-1, 0 ≤ jk-1} denotes a particular element in the generator matrix, the row index i corresponds to the convolutional node output y i that is affected by this element, while the column index j corresponds to the jth row in the k row shift register arrangement. Thus a ij specifies how the K bits in the jth row of the feedforward shift register matrix affects the ith output of the convolutional node.

    For a rate of 2/3, the generator matrix is specified as follows:

    ( 100100 011000 011100 101000 110000 010000 ) = ( 44 30 34 50 60 20 )

    The matrix on the right represents the elements in octal format. Zeros are padded at the end of the corresponding code generator sequences such that their total length is a multiple of three digits. The following diagram depicts the rate 2/3 convolutional node corresponding to the previously mentioned generator matrix, with a constraint length equal to 4. In the following diagram, D represents a shift register or memory element.

    Here, y i j , 0 ≤ jn-1 denotes the jth output of this node, in the ith instance.

    Default: ( 5 7 )

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    constraint length

    The maximum number of encoded bits that can be affected by a single input bit. This value represents (1 + maximal memory order), where maximal memory order refers to the length of the longest shift register chain in the convolutional encoder.

    Default: 3

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    initial state

    The encoder initialization state for the k(K-1) shift registers, where k is the input data word length and K specifies the constraint length. On the first call to this node, and thereafter when you configure reset? to TRUE, the encoder state is reset to this value on each call to this node. When you configure reset? to FALSE, the final state from the previous iteration is used in subsequent calls to this node and LabVIEW ignores the initial state parameter.

    Default: 0

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    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

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    reset?

    A Boolean that determines whether the internal state of the encoder is cleared.

    TRUE Clears any buffered bits from previous iterations. Also initializes the encoder to start from the initial state parameter that you specify.
    FALSE Continues encoding from the previous iteration. Any buffered bits from the previous iteration are added to the beginning of the input bit stream prior to encoding.

    Default: TRUE

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    output bit stream

    Convolutional-encoded code word returned by this node. Wire this parameter to MT Convolutional Decode to recover the input data stream.

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    final state

    The value for the k(K-1) shift registers as the right-aligned (least significant) k(K-1) bits when this node completes execution, where K is the constraint length and k is the data word length in bits.

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    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.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: Not supported

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


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