Convert convolutional code polynomials to trellis description

`trellis = poly2trellis(ConstraintLength,CodeGenerator)`

trellis = poly2trellis(ConstraintLength,CodeGenerator,...

FeedbackConnection)

The `poly2trellis`

function accepts a polynomial
description of a convolutional encoder and returns the corresponding
trellis structure description. The output of `poly2trellis`

is
suitable as an input to the `convenc`

and `vitdec`

functions, and as a mask parameter
for the Convolutional Encoder, Viterbi Decoder, and APP Decoder blocks
in Communications System Toolbox™ software.

`trellis = poly2trellis(ConstraintLength,CodeGenerator)`

performs
the conversion for a rate *k* / *n* feedforward
encoder. `ConstraintLength`

is a 1-by-*k* vector
that specifies the delay for the encoder's *k* input
bit streams. `CodeGenerator`

is a *k*-by-*n* matrix
of octal numbers or a *k*-by-*n* cell
array of polynomial character vectors that
specifies the *n* output connections for each of
the encoder's *k* input bit streams.

`trellis = poly2trellis(ConstraintLength,CodeGenerator,...`

is the same as the syntax
above, except that it applies to a feedback, not feedforward, encoder.

FeedbackConnection)`FeedbackConnection`

is
a 1-by-*k* vector of octal numbers that specifies
the feedback connections for the encoder's *k* input
bit streams.

For both syntaxes, the output is a MATLAB^{®} structure whose
fields are as in the table below.

**Fields of the Output Structure trellis for a
Rate k/n Code**

Field in trellis Structure | Dimensions | Meaning |
---|---|---|

`numInputSymbols` | Scalar | Number of input symbols
to the encoder: 2^{k} |

`numOutputSymbols` | Scalar | Number of output symbols
from the encoder: 2^{n} |

`numStates` | Scalar | Number of states in the encoder |

`nextStates` | `numStates` -by-2^{k} matrix | Next states for all combinations of current state and current input |

`outputs` | `numStates` -by-2^{k} matrix | Outputs (in octal) for all combinations of current state and current input |

For more about this structure, see the reference page for the `istrellis`

function.

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