Signal detection of delta-coded speech

A signal detection method for delta-coded speech is presented which exploits the redundancy of the source to reduce the error rate owing to additive Gaussian noise in the channel. The method implements a Bayes strategy with dual decision boundaries selected by a 6th-order digital predictor. Fixed decision boundary pairs, appropriate for a wide range of input signal/noise ratio, are established. This easily implemented technique is shown to give an error-rate reduction of about 40% in coherent antipodal and coherent and noncoherent orthogonal communication.