Signal-to-noise ratio estimation in digital computer simulation of lowpass and bandpass systems with applications to analog and digital communications

Techniques were developed to estimate power, gain, delay, signal-to-noise ratio, and mean-square error in digital computer simulations of lowpass and bandpass systems. The techniques were applied to analog and digital communications. The signal-to-noise ratio estimates were shown to be maximum likelihood estimates in additive white Gaussian noise. The methods were seen to be especially useful for digital communication systems where the mapping from the signal-to-noise ratio to the error probability can be obtained. Simulation results showed the techniques developed to be accurate and quite versatile in evaluating the performance of many systems through digital computer simulation.