Y = step(H,X)
Y = step(H,X,VAR)
Y = step(H,X) demodulates input data, X, with the BPSK demodulator System object™, H, and returns Y. Input X must be a scalar or a column vector with double or single precision data type. When you set the DecisionMethod property to Hard decision, the data type of the input can also be signed integer, or signed fixed point (fi objects).
Y = step(H,X,VAR) uses soft decision demodulation and noise variance VAR. This syntax applies when you set the DecisionMethod property to Log-likelihood ratio or Approximate log-likelihood ratio and the VarianceSource property to Input port. The data type of input VAR must be double or single precision.
Note: 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.