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# step

Class: comm.gpu.ConvolutionalEncoder
Package: comm.gpu

Convolutionally encode binary data

Y = step(H,X)

## Description

Y = step(H,X) encodes the binary data, X, using the convolutional encoding that you specify in the TrellisStructure property. It returns the encoded data, Y. Both X and Y are column vectors of data type single, double, or logical. When the convolutional encoder represents a rate K/N code, the length of the input vector equals K$×$L, for a positive integer, L. The step method sets the length of the output vector, Y, to L$×$N.

 Note:   H specifies the System object™ on which to run this step method.The object performs an initialization the first time the step method is executed. This initialization locks nontunable properties and input specifications, such as dimensions, complexity, and data type of the input data. If you change a nontunable property or an input specification, the System object issues an error. To change nontunable properties or inputs, you must first call the release method to unlock the object.
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