Class: comm.gpu.TurboDecoder
Package: comm.gpu

Decode input signal using parallel concatenated decoding scheme


Y = step(H,X)


Y = step(H,X) decodes the input data, X, using the parallel concatenated convolutional coding scheme. You specify this scheme using the TrellisStructure and InterleaverIndices properties. It returns the binary decoded data, Y. Both X and Y are column vectors of double-precision data type. When the constituent convolutional code represents a rate 1/N code, the step method sets the length of the output vector, Y, to (M-2*numTails)/(2*N-1). M represents the input vector length and numTails is given by log2(TrellisStructure.numStates)*N. The output length, L, is the same as the length of the interleaver indices.

    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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