  A method of prediction is presented to aid compression of sequences of
complex-valued samples. The focus is on using prediction to reduce the average
magnitude of residual values after prediction (not on the subsequent
compression of the residual sequence). The prediction method has low
computational complexity, so as to keep power consumption in implementations of
the method low. The new method presented applies specifically to sequences that
occupy a significant percentage of the sampling bandwidth; something that
existing, simple prediction methods fail to adequately address. The new method,
labeled "residual-as-prediction" here, produces residual sequences with reduced
mean magnitude compared to the original sequence, even for sequences whose
bandwidth is up to 85% of the sampling bandwidth.
