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System object: comm.gpu.TurboDecoder
Package: comm.gpu

Decode input signal using parallel concatenated decoding scheme


Y = step(H,X)



Starting in R2016b, instead of using the step method to perform the operation defined by the System object™, you can call the object with arguments, as if it were a function. For example, y = step(obj,x) and y = obj(x) perform equivalent operations.

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*NTails)/(2*N-1). M represents the input vector length and NTails is given by log2(TrellisStructure.numStates)*N. The output length, L, is the same as the length of the interleaver indices.


obj 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. For more information on changing property values, see System Design in MATLAB Using System Objects.